Overview

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Dataset statistics

Number of variables350
Number of observations1007
Missing cells138328
Missing cells (%)39.2%
Total size in memory2.8 MiB
Average record size in memory2.9 KiB

Variable types

Text13
Numeric229
DateTime3
Unsupported78
Boolean27

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w1_experimentidexperiment id
w1_fillinquestfillinquest
w1_lastpagelast page
w1_submitdatedate of submission
w1_startlanguagestart language
w1_startdateStart date
w1_datestampdatestamp
w1_refurl reference url
w1_A00_1Having read the informative and the privacy policy in the email (also linked below) ...do you agree to participate in the WENET-Internet of us survey and tell us about your experience as a student at the University of […]?
w1_A00_2Having read the informative and the privacy policy in the email (also linked below) ...do you authorize access to your university administrative data?
w1_A01Which gender were you born? 1. Male, 2. Female?
w1_A02When were you born? Year:
w1_A03What is your nationality? [List, see Appendix]
w1_A03JLUWhat is your nationality? [List, see Appendix]
w1_A04AMRITAQuestion: In what faculty/department are you studying? | Answer:
w1_A04AMRITA_otherQuestion: In what faculty/department are you studying? | Answer:
w1_A04AAUQuestion: In what faculty/department are you studying? | Answer: A04AAU. [List, see Appendix]:1. Electronic Systems 2. Architecture, Design and Media Technology 3. Chemistry and Bioscience 4. Communication and Psychology 5. Culture and Learning 6. Planning 7. Mathematical Sciences 8. Materials and Production 9. Business and Management 10. Sociology and Social Work 11. Political Science 12. Clinical Medicine 13. Built Environment
w1_A04JLUQuestion: In what faculty/department are you studying? | Answer: A04JLU. [List, see Appendix]1. School of Philosophy and Society 2. Art college 3. Archaeological Institute 4. Foreign Language School 5. Art Academy 6. Sports Academy 7. School of Mathematics 8. School of Physics 9. School of Chemistry 10. College of Life Sciences 11. School of Electronic Science and Engineering 12. School of Communication Engineering 13. School of Computer Science and Technology 14. Software College 15. School of Economics 16. Law school 17. School of Administration 18. Business school 19. Institute of Finance 20. School of Mechanical Engineering 21. School of Automotive Engineering 22. material science and Engineering School 23. Jiaotong University 24. College of Biological and Agricultural Engineering 25. School of Management 26. School of Food Science and Engineering 27. School of Earth Sciences 28. School of Earth Exploration Science and Technology 29. School of Construction Engineering 30. School of New Energy and Environment 31. School of Instrument Science and Electrical Engineering 32. Basic Medical School 33. School of Public Health 34. College of Pharmacy 35. School of Nursing 36. School of Clinical Medicine 37. Bethune First Hospital 38. Bethune Second Hospital 39. Bethune Third Hospital 40. Bethune Dental Hospital 41. School of Animal Medicine 42. Faculty of Plant Science 43. College of Animal Science 44. Artificial Intelligence Academy
w1_A04LSEQuestion: In what faculty/department are you studying? | Answer: A04LSE. [List, see Appendix]1. Department of Accounting 2. Department of Anthropology 3. Department of Economics 4. Department of Economic History 5. European Institute 6. Department of Finance 7. Department of Gender Studies 8. Department of Geography and Environment 9. Institute of Global Affairs (IGA) 10. Department of Government 11. Department of Health Policy 12. Department of International Development 13. Department of International History 14. International Inequalities Institute 15. Department of International Relations 16. Language Centre 17. Department of Law 18. Department of Management 19. Marshall Institute 20. Department of Mathematics 21. Department of Media and Communications 22. Department of Methodology 23. Department of Philosophy, Logic and Scientific Method 24. Department of Psychological and Behavioural Science 25. School of Public Policy (formerly Institute of Public Affairs) 26. Department of Social Policy 27. Department of Sociology 28. Department of Statistics
w1_A04NUMQuestion: In what faculty/department are you studying? | Answer: A04NUM. [List, see Appendix]1. Business School 2. School of International Relations and Public Administration 3. School of Law 4. School of Engineering and Applied Sciences 5. School of Sciences – Division of Social Sciences 6. School of Sciences – Division of Natural Sciences 7. School of Sciences – Division of Humanities
w1_A04UCQuestion: In what faculty/department are you studying? | Answer: A04UC. [List, see Appendix]1. Facultad de Ciencias Contables, Administrativas y Económicas 2. Facultad de Ciencias y Tecnología 3. Facultad de Ciencias de la Salud 4. Facultad de Ciencias Jurídicas y Diplomáticas 5. Facultad de Filosofía y Ciencias Humanas
w1_A04UNITNQuestion: In what faculty/department are you studying? | Answer: A04UNITN. [List, see Appendix]1. CIBIO 2. Economics and Management 3. Faculty of Law 4. Physics 5. Civil, Environmental and Mechanical Engineering 6. Information Engineering and Computer Science 7. Industrial Engineering 8. Humanities 9. Mathematics 10. Psychology and Cognitive Science 11. Sociology and Social Research 12. Center Agriculture Food Environment 13. CIMeC - Centre for Mind/Brain Sciences 14. SSI - School of International Studies 15. Other structures
w1_A04IPICYTQuestion: In what faculty/department are you studying? | Answer: A04IPICYT. [List, see Appendix]
w1_A05Type of degree: 1. BSc, 2. MSc, 3.PhD
w1_A05UNITNType of degree: 1. BSc, 2. MSc, 3. 5 years
w1_A05AMRITAType of degree: 1. BSc, 2. MSc, 3.M.B.B.S, 4.MBA, 5.M.Tech, 6.B.Tech, 7.Integrated degree, 8.MHA, 9.B.Pharm, 10.M.D, 11.B.A.M.S, 12.BCA, 13.M.Pharm, 14.MCA, 15.M.S, 16.Mch
w1_A06Programme: 1. Full Time, 2. Part Time
w1_A07[Not for LSE if A05=2 AND A06=1] Course year
w1_A08You are: 1. Regularly enrolled for a BAs/MAs degree, 2. Register on supplementary year
w1_A09 [Not for LSE, NUM, UC and UNITN] Where do you live during term time?: 1. In the town where the university is located. 2. Close to the city where the university is located (less than 1.30 hours of travel). [go to A11] 3. In another city away from where the university is located (more than 1.30 hours of travel) [go to A11] 4. Abroad (e.g., Erasmus student) [go to B01]
w1_A09UNITNWhere do you live during term time? [See Appendix] 1. Trento [go to A10UNITN] 2. Rovereto 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)
w1_A09UCWhere do you live during term time? [See Appendix]1. Asunción [go to A10UC] 2. In the town where the university is located. 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)
w1_A10UNITNAnd exactly in which neighbourhood of the town do you live? And exactly in which district of the town do you live? [See Appendix]1. Center (from Cristo Re/San Martino to Fersina) 2. Piedicastello/Vela 3. Trento North (from Gardolo to loc.Solteri/Via Brennero/Via Maccani) 4. North of Gardolo (Lavis, Meano, Spini) 5. Argentario (Cognola/Martignano/Montevaccino/Villamontagna) 6. East hill (Mesiano/Povo/Oltrecastello/San Donà/Cognola/Villazzano) 7. Trento South (Bolghera/Clarina/San Bartolomeo/Madonna Bianca/Villazzano Tre) 8. Mattarello/Ravina/Romagnano 9. Bondone/Cadine/Sardagna/Sopramonte
w1_A10AAUAnd exactly in which neighbourhood of the town do you live? And exactly in which neighbourhood of the town do you live? [See Appendix]1. Vesterbro/Kongens Enghave 2. Nørrebro 3. Østerbro 4. Amager Øst 5. Amager Vest 6. Valby 7. Bispebjerg 8. Vanløse 9. Brønshøj-Husum
w1_A10NUMAnd exactly in which neighbourhood of the town do you live? Please, enter the zip code of where you live during term time [See Appendix]
w1_A10LSEAnd exactly in which neighbourhood of the town do you live? What is your first three digits of post code? [See Appendix]1. London Central (30 minutes from LSE) 2. Outer London (1hour from LSE) 3. Outside London
w1_A10UCAnd exactly in which neighbourhood of the town do you live? What area exactly do you live in? [See Appendix]1. Centro 2. Sajonia 3. San Vicente y Santa Ana 4. Mcal López1 (entre Brasil y Gral Santos) 5. España1 (entre Brasil y Gral Santos) 6. Mcal López2 (entre Gral Santos y Rca. Argentina) 7. España2 (entre Gral Santos y Rca. Argentina) 8. Pinoza/ Seminario 9. Los Laureles 10. Shopping del Sol hasta calle Última 11. Trinidad 12. Loma Pyta
w1_A10IPICYTAnd exactly in which neighbourhood of the town do you live? In which area do you live? [See Appendix]
w1_A11NUMWhat kind of accommodation are you living in? [See Appendix]1. University dormitory (dormitory) 2. In the university apartment 3. Dormitory (Private dormitory) 4. Rental apartment / house 5. Own apartment or house (may be yours, parents 'or relatives') 6. As a private guest / guest (adjoining room for rent) 7. As a friend or guest of friends 8. Mongolian ger and fence 9. Fence in the house
w1_A11 What kind of accommodation are you living in? 1. University students’ Residence (dormitory) (e.g. LSE Hall of Residence, San Bartolameo, Danmarks Internationale Kollegium) 2. University flat 3. University campus4. A private sector Hall of Residence (Private students’ dormitory)5. Rental house/flat 6. in a house/apartment owned (by you, your parents, or relatives) 7. guest of a private person8. guest of friend or friends
w1_B01_1Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am the life of the party
w1_B01_2Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Sympathize with others’ feelings
w1_B01_3Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get chores done right away
w1_B01_4Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have frequent mood swings
w1_B01_5Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have a vivid imagination
w1_B01_6Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Don’t talk a lot
w1_B01_7Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in other people’s problems
w1_B01_8Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Often forget to put things back in their proper place
w1_B01_9Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am relaxed most of the time
w1_B01_10Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in abstract ideas
w1_B01_11Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Talk to a lot of different people at parties
w1_B01_12Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Feel others’ emotions
w1_B01_13Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Like order
w1_B01_14Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get upset easily
w1_B01_15Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have difficulty understanding abstract ideas
w1_B01_16Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Keep in the background
w1_B01_17Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not really interested in others
w1_B01_18Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Make a mess of things
w1_B01_19Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Seldom feel blue
w1_B01_20Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Do not have a good imagination
w1_B02_1Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SOCIAL SUPPORT. To obtain help when you need it; to feel that you are not alone in the world.
w1_B02_2Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SUCCESS. To reach your goals; to be efficient in everything you do.
w1_B02_3Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SEXUALITY. To have sexual relationships; to obtain sexual pleasure.
w1_B02_4Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: KNOWLEDGE. To look for up-to-date news on not very well-known matters; to try to discover new things about the world.
w1_B02_5Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: EMOTION. To enjoy challenges or unknown situations; to look for adventure.
w1_B02_6Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: POWER. To have the power to influence others and to control decisions; to be the boss of a team.
w1_B02_7Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: AFFECTIVITY. To have a deep and enduring affectionate relationship; to have somebody to share successes and failures.
w1_B02_8Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.
w1_B02_9Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: HEALTH. To look after your health at all times, not just when sick; not to be sick.
w1_B02_10Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PLEASURE. To live for the moment; to satisfy all your desires.
w1_B02_11Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PRESTIGE. To know that a lot of people know and admire you; when you are older to receive a homage for your contributions.
w1_B02_12Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: OBEDIENCE. To fulfill your daily duties and obligations; to respect your parents, superiors, or elders.
w1_B02_13Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PERSONAL STABILITY. To have the certainty that tomorrow you will have all that you have today; to have an organized and planned life.
w1_B02_14Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BELONGING. To have good neighborly relationships; to form part of a group (e.g., social, religious, sporting, etc.).
w1_B02_15Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BEAUTY. To be able to appreciate the best in art, music, and literature; to go to museums or exhibitions where you can see beautiful things.
w1_B02_16Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: TRADITION. To follow the social norms of your country; to respect the traditions of your society.
w1_B02_17Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SURVIVAL. To have water, food, and shelter every day in your life; to live in a place with enough food.
w1_B02_18Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: MATURITY. To feel that your purpose in life has been fulfilled; to develop all your capacities.
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w1_C01_1How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online live synchronous
w1_C01_2How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online recorded asynchronous
w1_C01_3How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Partly synchronously and partly asynchronously
w1_C01_4How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: In presence
w1_C02_1How often do you attend workshops or other academic activities? (1 “never” – 6 “very often”)
w1_C02_2How often do you take notes in class? (1 “never” – 6 “very often”)
w1_C02_3How often do you review and arrange notes at the end of the lecture? (1 “never” – 6 “very often”)
w1_C02_4How often do you audio record the lecture? (1 “never” – 6 “very often”)
w1_C02_5How often do you study and review notes regularly during the class week? (1 “never” – 6 “very often”)
w1_C02_6How often do you schematize or summarize books or notes related to a course? (1 “never” – 6 “very often”)
w1_C02_7How often do you take part in the activities organized by the course? (1 “never” – 6 “very often”)
w1_C02_8How often do you use specialized websites (e.g., statistics, philosophy, physics…)? (1 “never” – 6 “very often”)
w1_C02_9How often do you use question & answer sites (e.g., Quora, Stack Overflow, Answers.com)? (1 “never” – 6 “very often”)
w1_C02_10How often do you use university websites/platform tools for learning (e.g., Moodle, etc.)? (1 “never” – 6 “very often”)
w1_C02_11How often do you use commercial education platforms (e.g., Coursera, Udemy, Datacamp)? (1 “never” – 6 “very often”)
w1_C02_12How often do you use virtual labs and Amrita University Management Systems? (1 “never” – 6 “very often”)
w1_D01About how many university students can you contact for help in studying?
w1_D02Are you in an informal study group(s) (beside the one you are in for the lab/class project)? 1) Yes 2) No [go to E01]
w1_D03How many informal study groups do you participate in?
w1_D04About how many people are in the informal study group? If you have more than one, think about the one you meet most often
w1_D05How often do you meet? If you meet more than one, think about the one you meet most often.1. Less than once a week2. Once a week3. Twice a week 4. Three days a week 5. Four days a week6. Five or more days a week
w1_E01_1How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Twitter - Weibo
w1_E01_2How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook
w1_E01_3How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : LinkedIn
w1_E01_4How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : YouTube
w1_E01_5How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Instagram
w1_E01_6How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Telegram
w1_E01_7How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Pinterest
w1_E01_8How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Reddit
w1_E01_9How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Flickr
w1_E01_10How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook messenger
w1_E01_11How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WhatsApp
w1_E01_12How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Google hangouts
w1_E01_13How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Skype
w1_E01_14How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Zoom
w1_E01_15How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Snapchat
w1_E01_16How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Tinder
w1_E01_17How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WeChat
w1_E01_18How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Viber
w1_E01_19How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : TikTok
w1_E01JLU_1How often do use the following social networking channels? | Answer: Weibo(微博)
w1_E01JLU_2How often do use the following social networking channels? | Answer: LinkedIn
w1_E01JLU_3How often do use the following social networking channels? | Answer: Bilibili
w1_E01JLU_4How often do use the following social networking channels? | Answer: Acfun
w1_E01JLU_5How often do use the following social networking channels? | Answer: lvzhou(绿洲)
w1_E01JLU_6How often do use the following social networking channels? | Answer: Telegram
w1_E01JLU_7How often do use the following social networking channels? | Answer: Pinterest
w1_E01JLU_8How often do use the following social networking channels? | Answer: Huaban(花瓣)
w1_E01JLU_9How often do use the following social networking channels? | Answer: Xiaohongshu(小红书)
w1_E01JLU_10How often do use the following social networking channels? | Answer: Reddit
w1_E01JLU_11How often do use the following social networking channels? | Answer: Tieba(贴吧)
w1_E01JLU_12How often do use the following social networking channels? | Answer: Douban(豆瓣小组)
w1_E01JLU_13How often do use the following social networking channels? | Answer: Skype
w1_E01JLU_14How often do use the following social networking channels? | Answer: Zoom
w1_E01JLU_15How often do use the following social networking channels? | Answer: Tencent Meeting(腾讯会议)
w1_E01JLU_16How often do use the following social networking channels? | Answer: DingDing(钉钉)
w1_E01JLU_17How often do use the following social networking channels? | Answer: Tinder
w1_E01JLU_18How often do use the following social networking channels? | Answer: Tantan(探探)
w1_E01JLU_19How often do use the following social networking channels? | Answer: Momo(陌陌)
w1_E01JLU_20How often do use the following social networking channels? | Answer: WeChat(微信)
w1_E01JLU_21How often do use the following social networking channels? | Answer: QQ
w1_E01JLU_22How often do use the following social networking channels? | Answer: TikTok(抖音)
w1_E01JLU_23How often do use the following social networking channels? | Answer: Kuaishou(快手)
w1_E01JLU_24How often do use the following social networking channels? | Answer: Huoshan (火山小视频)
w1_E02_1Do you use social networking sites to solve an academic problem? (1 “never” – 6 “very often”)
w1_E02_2Do you use social networking sites to do research work? (1 “never” – 6 “very often”)
w1_E02_3Do you use social networking sites for online academic group discussion? (1 “never” – 6 “very often”)
w1_E02_4Do you use social networking sites to prepare for an examination? (1 “never” – 6 “very often”)
w1_E02_5Do you use social networking sites for collaborative learning? (1 “never” – 6 “very often”)
w1_E02_6Do you use social networking sites to keep you up to date with the activities of your university? (1 “never” – 6 “very often”)
w1_E02_7Do you use social networking sites to seek help from your teachers? (1 “never” – 6 “very often”)
w1_E02_8Do you use social networking sites to become sociable? (1 “never” – 6 “very often”)
w1_E02_9Do you use social networking sites to create your social identity? (1 “never” – 6 “very often”)
w1_E02_10Do you use social networking sites to attend social gatherings? (1 “never” – 6 “very often”)
w1_E02_11Do you use social networking sites to keep in touch with my friends? (1 “never” – 6 “very often”)
w1_E02_12Do you use social networking sites to keep in touch with my relatives? (1 “never” – 6 “very often”)
w1_E02_13Do you use social networking sites to get information regarding current social events? (1 “never” – 6 “very often”)
w1_E02_14Do you use social networking sites for sharing pictures? (1 “never” – 6 “very often”)
w1_E02_15Do you use social networking sites to look at funny stories? (1 “never” – 6 “very often”)
w1_E02_16Do you use social networking sites for watching movies? (1 “never” – 6 “very often”)
w1_E02_17Do you use social networking sites to get relief from academic stress? (1 “never” – 6 “very often”)
w1_E02_18Do you use social networking sites for reading news? (1 “never” – 6 “very often”)
w1_E02_19Do you use social networking sites to share new ideas? (1 “never” – 6 “very often”)
w1_E02_20Do you use social networking sites for getting jobs related information? (1 “never” – 6 “very often”)
w1_E02_21
w1_E03You know what a chatbot is? 1. Yes, 2. No [go to F01]
w1_E04Currently, do you use some chatbot? 1. Yes [go to E06], 2. No
w1_E05In the past, have you tried to talk/converse with a chatbot? 1. Yes [go to F01], 2. No [go to F01]
w1_E06How many chatbot apps have you installed on your smartphone? N.|__|
w1_E07Can you tell us which chatbot(s) you have installed on your smartphone? App Name(s) (________)
w1_E08How often do use the chatbot? (1) Rarely/Never; (2) Every few weeks; (3) A few times a week; (4) About once a day; (5) Several times a day
w1_E09_1How much do you agree with the following statement: if the chatbot shows you ads (advertisements) based on your online activity? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_2How much do you agree with the following statement: if the chatbot knew who you were, without logging in? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_3How much do you agree with the following statement: if the chatbot analysed you, even when using other apps (applications)? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_4How much do you agree with the following statement: if the chatbot identified your age? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_5How much do you agree with the following statement: if the chatbot identified your gender? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_6How much do you agree with the following statement: if the chatbot identified your religious/political views? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_7How much do you agree with the following statement: if individuals or groups perform threatening acts to other users, through the chatbot? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_F01Are you a part of, or are you a member of, any student association or group and/or other nonstudents associations? (e.g. religious, political, sports, etc.) 1) Only student ass. [go to F02], 2)Only nonstudent ass. [go to F04], 3) Both, 4) No [go to G01]
w1_F02
w1_F03_1Please mark the categories of interest of the society(ies) you belong to: Faith
w1_F03_2Please mark the categories of interest of the society(ies) you belong to: Arts and Performance
w1_F03_3Please mark the categories of interest of the society(ies) you belong to: Activity and specialist (e.g., music, alt music, wine, dance, video makers)
w1_F03_4Please mark the categories of interest of the society(ies) you belong to: Cultural and National
w1_F03_5Please mark the categories of interest of the society(ies) you belong to: Careers
w1_F03_6Please mark the categories of interest of the society(ies) you belong to: Volunteering and Charity
w1_F03_7Please mark the categories of interest of the society(ies) you belong to: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)
w1_F03_8Please mark the categories of interest of the society(ies) you belong to: Media
w1_F03_9Please mark the categories of interest of the society(ies) you belong to: Sport
w1_F03_10Please mark the categories of interest of the society(ies) you belong to: Recreational
w1_F03_otherPlease mark the categories of interest of the society(ies) you belong to: Other, specify: ________
w1_F04_1Please mark the categories of interest of the society(ies) you belong to nonstudents association: Faith
w1_F04_2Please mark the categories of interest of the society(ies) you belong to nonstudents association: Arts and Performance
w1_F04_3Please mark the categories of interest of the society(ies) you belong to nonstudents association: Activity and specialist (e.g., music, alt music, wine, dance, video makers)
w1_F04_4Please mark the categories of interest of the society(ies) you belong to nonstudents association: Cultural and National
w1_F04_5Please mark the categories of interest of the society(ies) you belong to nonstudents association: Careers
w1_F04_6Please mark the categories of interest of the society(ies) you belong to nonstudents association: Volunteering and Charity
w1_F04_7Please mark the categories of interest of the society(ies) you belong to nonstudents association: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)
w1_F04_8Please mark the categories of interest of the society(ies) you belong to nonstudents association: Media
w1_F04_9Please mark the categories of interest of the society(ies) you belong to nonstudents association: Sport
w1_F04_10Please mark the categories of interest of the society(ies) you belong to nonstudents association: Recreational
w1_F04_otherPlease mark the categories of interest of the society(ies) you belong to nonstudents association: Other, specify
w1_G01_1Have you done any of the following activities in the last year or so? Acted in a theatre play (1) YES (2) NO
w1_G01_2Have you done any of the following activities in the last year or so? Directed a theatre play (1) YES (2) NO
w1_G01_3Have you done any of the following activities in the last year or so? Performed as a stand-up comedian (1) YES (2) NO
w1_G01_4Have you done any of the following activities in the last year or so? Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped (1) YES (2) NO
w1_G01_5Have you done any of the following activities in the last year or so? Played a musical instrument (1) YES (2) NO
w1_G01_6Have you done any of the following activities in the last year or so? Played a musical instrument in an orchestra or pop/rock/jazz/folk band (1) YES (2) NO
w1_G01_7Have you done any of the following activities in the last year or so? Composed music or performed as DJ (1) YES (2) NO
w1_G01_8Have you done any of the following activities in the last year or so? Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance) (1) YES (2) NO
w1_G01_9Have you done any of the following activities in the last year or so? Did choreography for a dance performance (1) YES (2) NO
w1_G02_1How often did you follow, view and/or listen to the recordings of Theatre plays? (1) Never, (2) ... , (6) Very often
w1_G02_2How often did you follow, view and/or listen to the recordings of Cabarets, or a stand-up comedy? (1) Never, (2) ... , (6) Very often
w1_G02_3How often did you follow, view and/or listen to the recordings of Ballets or a modern dance? (1) Never, (2) ... , (6) Very often
w1_G02_4How often did you follow, view and/or listen to the recordings of Classical music? (1) Never, (2) ... , (6) Very often
w1_G02_5How often did you follow, view and/or listen to the recordings of Opera? (1) Never, (2) ... , (6) Very often
w1_G02_6How often did you follow, view and/or listen to the recordings of Musical? (1) Never, (2) ... , (6) Very often
w1_G02_7How often did you follow, view and/or listen to the recordings of Pop or rock? (1) Never, (2) ... , (6) Very often
w1_G02_8How often did you follow, view and/or listen to the recordings of Jazz or blues? (1) Never, (2) ... , (6) Very often
w1_G02_9How often did you follow, view and/or listen to the recordings of Folk music concert? (1) Never, (2) ... , (6) Very often
w1_G02_10How often did you follow, view and/or listen to the recordings of World music? (1) Never, (2) ... , (6) Very often
w1_G02_11How often did you follow, view and/or listen to the recordings of Urban (rap, hip-hop, trap)? (1) Never, (2) ... , (6) Very often
w1_G02_12How often did you follow, view and/or listen to the recordings of Dance or house? (1) Never, (2) ... , (6) Very often
w1_G02_13How often did you follow, view and/or listen to the recordings of Popular national or local music? (1) Never, (2) ... , (6) Very often
w1_G02_14How often did you follow, view and/or listen to the recordings of A singer/songwriter? (1) Never, (2) ... , (6) Very often
w1_G02_15How often did you follow, view and/or listen to the recordings of Other music? (1) Never, (2) ... , (6) Very often
w1_G02_16How often did you follow, view and/or listen to the recordings of A sport events? (1) Never, (2) ... , (6) Very often
w1_G03_1Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often
w1_G03_2Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often
w1_G03_3Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often
w1_G03_4Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often
w1_G03_5Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often
w1_G03_6Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often
w1_G03_7Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often
w1_G03_8Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often
w1_G03_9Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often
w1_G03_10Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often
w1_G04_1During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_2During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_3During the last year or so... Did you visit a museum in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_4During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_5During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_6During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_7During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often
w1_G04_8During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often
w1_G04_9During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often
w1_G04_10During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often
w1_G05_1During the last year or so... How often did you visit a bookshop in your own country or abroad? 1. Never, 2., 3., 4., 5., 6. Very often
w1_G05_2During the last year or so... How often did you visit an online bookshop and/or search for literature and other material available in a library on the internet? 1. Never, 2., 3., 4., 5., 6. Very often
w1_G06Approximately, how many books (printed or eBook) do you have where you live? 1. None 2. 1-25 3. 26-50 4. 51-100 5. 101-200 6. 201-400 7. More than 400
w1_G07_1During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No
w1_G07_2During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No
w1_G08_1Which kind of books did you read? (tick all that apply): Literature & Novels
w1_G08_2Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy
w1_G08_3Which kind of books did you read? (tick all that apply): Mystery & Thrillers
w1_G08_4Which kind of books did you read? (tick all that apply): History
w1_G08_5Which kind of books did you read? (tick all that apply): Biographies
w1_G08_6Which kind of books did you read? (tick all that apply): Health, Mind & Body
w1_G08_7Which kind of books did you read? (tick all that apply): Other kind of books
w1_G09In the last year or so, approximately how many books have you read (not for study)? |__|__|
w1_G10_1Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_2Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_3Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_4Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G11_1Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never
w1_G11_2Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never
w1_H01fWhich is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____
w1_H01f_otherWhich is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____
w1_H01mWhich is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____
w1_H01m_otherWhich is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____
w1_H01fLSE
w1_H01mLSE
w1_H02fWhen you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know
w1_H03afMore precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee
w1_H03af_otherMore precisely he or guardian is/was an….? Answer: Other, please specify: _____
w1_H03bfw1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker
w1_H03bf_otherw1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____
w1_H02mWhen you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know
w1_H03amMore precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee
w1_H03am_otherMore precisely she or guardian is/was an….? Answer: Other, please specify: _____
w1_H03bmw1_H04bm - More precisely she or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker
w1_H03bm_other w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____
w1_I00Do you want to participate? 1. Yes, 2. No [go to I05]
w1_I01 Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’
w1_I03How many Mobile phones do you have? N. |__|
w1_I04 I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]
w1_BFI15_1Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often worry about trifles.
w1_BFI15_2Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often feel disturbed.
w1_BFI15_3Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I always worry that something bad is going to happen.
w1_BFI15_4Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to plan things from the beginning.
w1_BFI15_5Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I am diligent in my work or study.
w1_BFI15_6Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: One of my characteristics is doing things logically and orderly.
w1_BFI15_7Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I think most people are well-intentioned.
w1_BFI15_8Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some frauds in the society, I think most people can be trusted.
w1_BFI15_9Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some bad things in human society (such as war, evil and fraud), I still believe that human nature is generally good.
w1_BFI15_10Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm a person who loves to take risks and break the rules.
w1_BFI15_11Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like adventure.
w1_BFI15_12Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I have a spirit of adventure that no one else has.
w1_BFI15_13Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm bored by parties with lots of people.
w1_BFI15_14Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I try to avoid parties with lots of people and noisy environments.
w1_BFI15_15Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to go to social and recreational parties.
w1_GT_BF15
w1_N01How did you make a decision to become a student? 1. By myself 2. Followed my parents' advice 3. Followed my brother/sister's advice4. Other, please specify: ____
w1_N01_otherHow did you make a decision to become a student? | Answer: Other, please specify: ____
w1_N02Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]
w1_N03From where did you migrate? 1. Arkhangai 2. Bayan-Ulgii 3. Баянхонгор 4. Bayankhongor 5. Govi-Altai 6. Govisumber 7. Darkhan-Uul 8. Dornogovi 9. Dornod 10. Dundgovi 11. Zavkhan 12. Orkhon 13. Uvurkhangai 14. Umnugovi 15. Sukhbaatar 16. Selenge 17. Tuv 18. Uvs 19. Khovd 20. Khuvsgul 21. Khentii
w1_N04For how long are you living in the current place? 1. Less than 1 year 2. 1-2 years 3. 3-4 years 4. 4-5 years 5. 5 or more years
w1_N05_1Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_2Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_3Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_4Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_5Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_6Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_7Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_8Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N06Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____
w1_N06_otherPlease, give the reason to migrate to the city. | Answer: Other, please specify: ____
w1_interviewtimetime of interview
w1_GT_A0
w1_GT_A1
w1_GT_B
w1_GT_C
w1_GT_D
w1_GT_E
w1_GT_F
w1_GT_G1
w1_GT_G2
w1_GT_G3
w1_GT_H1
w1_GT_H2
w1_GT_I1
w1_GT_I2
w1_GT_N

Alerts

w1_experimentid has constant value "wenetChina" Constant
w1_F03_1 has constant value "False" Constant
w1_F03_2 is highly imbalanced (58.8%) Imbalance
w1_F03_3 is highly imbalanced (66.7%) Imbalance
w1_F03_4 is highly imbalanced (93.9%) Imbalance
w1_F03_5 is highly imbalanced (71.3%) Imbalance
w1_F03_7 is highly imbalanced (91.8%) Imbalance
w1_F03_8 is highly imbalanced (76.8%) Imbalance
w1_F03_9 is highly imbalanced (70.1%) Imbalance
w1_F03_10 is highly imbalanced (70.5%) Imbalance
w1_F04_1 is highly imbalanced (97.0%) Imbalance
w1_F04_2 is highly imbalanced (90.5%) Imbalance
w1_F04_3 is highly imbalanced (89.8%) Imbalance
w1_F04_4 is highly imbalanced (97.0%) Imbalance
w1_F04_5 is highly imbalanced (93.9%) Imbalance
w1_F04_6 is highly imbalanced (79.7%) Imbalance
w1_F04_7 is highly imbalanced (97.0%) Imbalance
w1_F04_8 is highly imbalanced (97.9%) Imbalance
w1_F04_9 is highly imbalanced (86.2%) Imbalance
w1_F04_10 is highly imbalanced (83.4%) Imbalance
w1_experimentid has 28 (2.8%) missing values Missing
w1_fillinquest has 28 (2.8%) missing values Missing
w1_lastpage has 28 (2.8%) missing values Missing
w1_submitdate has 163 (16.2%) missing values Missing
w1_startlanguage has 28 (2.8%) missing values Missing
w1_startdate has 28 (2.8%) missing values Missing
w1_datestamp has 28 (2.8%) missing values Missing
w1_refurl has 998 (99.1%) missing values Missing
w1_A00_1 has 28 (2.8%) missing values Missing
w1_A00_2 has 28 (2.8%) missing values Missing
w1_A01 has 58 (5.8%) missing values Missing
w1_A02 has 87 (8.6%) missing values Missing
w1_A03 has 1007 (100.0%) missing values Missing
w1_A03JLU has 50 (5.0%) missing values Missing
w1_A04AMRITA has 1007 (100.0%) missing values Missing
w1_A04AMRITA_other has 1007 (100.0%) missing values Missing
w1_A04AAU has 1007 (100.0%) missing values Missing
w1_A04JLU has 87 (8.6%) missing values Missing
w1_A04LSE has 1007 (100.0%) missing values Missing
w1_A04NUM has 1007 (100.0%) missing values Missing
w1_A04UC has 1007 (100.0%) missing values Missing
w1_A04UNITN has 1007 (100.0%) missing values Missing
w1_A04IPICYT has 1007 (100.0%) missing values Missing
w1_A05 has 28 (2.8%) missing values Missing
w1_A05UNITN has 1007 (100.0%) missing values Missing
w1_A05AMRITA has 1007 (100.0%) missing values Missing
w1_A06 has 28 (2.8%) missing values Missing
w1_A07 has 45 (4.5%) missing values Missing
w1_A08 has 88 (8.7%) missing values Missing
w1_A09 has 1007 (100.0%) missing values Missing
w1_A09UNITN has 1007 (100.0%) missing values Missing
w1_A09UC has 1007 (100.0%) missing values Missing
w1_A10UNITN has 1007 (100.0%) missing values Missing
w1_A10AAU has 1007 (100.0%) missing values Missing
w1_A10NUM has 1007 (100.0%) missing values Missing
w1_A10LSE has 1007 (100.0%) missing values Missing
w1_A10UC has 1007 (100.0%) missing values Missing
w1_A10IPICYT has 1007 (100.0%) missing values Missing
w1_A11NUM has 1007 (100.0%) missing values Missing
w1_A11 has 1007 (100.0%) missing values Missing
w1_B01_1 has 129 (12.8%) missing values Missing
w1_B01_2 has 130 (12.9%) missing values Missing
w1_B01_3 has 129 (12.8%) missing values Missing
w1_B01_4 has 132 (13.1%) missing values Missing
w1_B01_5 has 133 (13.2%) missing values Missing
w1_B01_6 has 133 (13.2%) missing values Missing
w1_B01_7 has 132 (13.1%) missing values Missing
w1_B01_8 has 132 (13.1%) missing values Missing
w1_B01_9 has 134 (13.3%) missing values Missing
w1_B01_10 has 134 (13.3%) missing values Missing
w1_B01_11 has 132 (13.1%) missing values Missing
w1_B01_12 has 133 (13.2%) missing values Missing
w1_B01_13 has 134 (13.3%) missing values Missing
w1_B01_14 has 133 (13.2%) missing values Missing
w1_B01_15 has 133 (13.2%) missing values Missing
w1_B01_16 has 133 (13.2%) missing values Missing
w1_B01_17 has 133 (13.2%) missing values Missing
w1_B01_18 has 134 (13.3%) missing values Missing
w1_B01_19 has 133 (13.2%) missing values Missing
w1_B01_20 has 135 (13.4%) missing values Missing
w1_B02_1 has 1007 (100.0%) missing values Missing
w1_B02_2 has 1007 (100.0%) missing values Missing
w1_B02_3 has 1007 (100.0%) missing values Missing
w1_B02_4 has 1007 (100.0%) missing values Missing
w1_B02_5 has 1007 (100.0%) missing values Missing
w1_B02_6 has 1007 (100.0%) missing values Missing
w1_B02_7 has 1007 (100.0%) missing values Missing
w1_B02_8 has 1007 (100.0%) missing values Missing
w1_B02_9 has 1007 (100.0%) missing values Missing
w1_B02_10 has 1007 (100.0%) missing values Missing
w1_B02_11 has 1007 (100.0%) missing values Missing
w1_B02_12 has 1007 (100.0%) missing values Missing
w1_B02_13 has 1007 (100.0%) missing values Missing
w1_B02_14 has 1007 (100.0%) missing values Missing
w1_B02_15 has 1007 (100.0%) missing values Missing
w1_B02_16 has 1007 (100.0%) missing values Missing
w1_B02_17 has 1007 (100.0%) missing values Missing
w1_B02_18 has 1007 (100.0%) missing values Missing
w1_B02JLU_1 has 94 (9.3%) missing values Missing
w1_B02JLU_2 has 95 (9.4%) missing values Missing
w1_B02JLU_3 has 99 (9.8%) missing values Missing
w1_B02JLU_4 has 98 (9.7%) missing values Missing
w1_B02JLU_5 has 100 (9.9%) missing values Missing
w1_B02JLU_6 has 97 (9.6%) missing values Missing
w1_B02JLU_7 has 99 (9.8%) missing values Missing
w1_B02JLU_8 has 97 (9.6%) missing values Missing
w1_B02JLU_9 has 98 (9.7%) missing values Missing
w1_B02JLU_10 has 97 (9.6%) missing values Missing
w1_B02JLU_11 has 100 (9.9%) missing values Missing
w1_B02JLU_12 has 96 (9.5%) missing values Missing
w1_B02JLU_13 has 98 (9.7%) missing values Missing
w1_B02JLU_14 has 97 (9.6%) missing values Missing
w1_B02JLU_15 has 97 (9.6%) missing values Missing
w1_B02JLU_16 has 99 (9.8%) missing values Missing
w1_B02JLU_17 has 96 (9.5%) missing values Missing
w1_B02JLU_18 has 96 (9.5%) missing values Missing
w1_C01_1 has 281 (27.9%) missing values Missing
w1_C01_2 has 265 (26.3%) missing values Missing
w1_C01_3 has 288 (28.6%) missing values Missing
w1_C01_4 has 193 (19.2%) missing values Missing
w1_C02_1 has 165 (16.4%) missing values Missing
w1_C02_2 has 166 (16.5%) missing values Missing
w1_C02_3 has 166 (16.5%) missing values Missing
w1_C02_4 has 166 (16.5%) missing values Missing
w1_C02_5 has 168 (16.7%) missing values Missing
w1_C02_6 has 165 (16.4%) missing values Missing
w1_C02_7 has 169 (16.8%) missing values Missing
w1_C02_8 has 166 (16.5%) missing values Missing
w1_C02_9 has 168 (16.7%) missing values Missing
w1_C02_10 has 167 (16.6%) missing values Missing
w1_C02_11 has 167 (16.6%) missing values Missing
w1_C02_12 has 1007 (100.0%) missing values Missing
w1_D01 has 170 (16.9%) missing values Missing
w1_D02 has 145 (14.4%) missing values Missing
w1_D03 has 837 (83.1%) missing values Missing
w1_D04 has 844 (83.8%) missing values Missing
w1_D05 has 837 (83.1%) missing values Missing
w1_E01_1 has 1007 (100.0%) missing values Missing
w1_E01_2 has 1007 (100.0%) missing values Missing
w1_E01_3 has 1007 (100.0%) missing values Missing
w1_E01_4 has 1007 (100.0%) missing values Missing
w1_E01_5 has 1007 (100.0%) missing values Missing
w1_E01_6 has 1007 (100.0%) missing values Missing
w1_E01_7 has 1007 (100.0%) missing values Missing
w1_E01_8 has 1007 (100.0%) missing values Missing
w1_E01_9 has 1007 (100.0%) missing values Missing
w1_E01_10 has 1007 (100.0%) missing values Missing
w1_E01_11 has 1007 (100.0%) missing values Missing
w1_E01_12 has 1007 (100.0%) missing values Missing
w1_E01_13 has 1007 (100.0%) missing values Missing
w1_E01_14 has 1007 (100.0%) missing values Missing
w1_E01_15 has 1007 (100.0%) missing values Missing
w1_E01_16 has 1007 (100.0%) missing values Missing
w1_E01_17 has 1007 (100.0%) missing values Missing
w1_E01_18 has 1007 (100.0%) missing values Missing
w1_E01_19 has 1007 (100.0%) missing values Missing
w1_E01JLU_1 has 133 (13.2%) missing values Missing
w1_E01JLU_2 has 142 (14.1%) missing values Missing
w1_E01JLU_3 has 132 (13.1%) missing values Missing
w1_E01JLU_4 has 133 (13.2%) missing values Missing
w1_E01JLU_5 has 137 (13.6%) missing values Missing
w1_E01JLU_6 has 138 (13.7%) missing values Missing
w1_E01JLU_7 has 136 (13.5%) missing values Missing
w1_E01JLU_8 has 137 (13.6%) missing values Missing
w1_E01JLU_9 has 134 (13.3%) missing values Missing
w1_E01JLU_10 has 136 (13.5%) missing values Missing
w1_E01JLU_11 has 134 (13.3%) missing values Missing
w1_E01JLU_12 has 135 (13.4%) missing values Missing
w1_E01JLU_13 has 135 (13.4%) missing values Missing
w1_E01JLU_14 has 137 (13.6%) missing values Missing
w1_E01JLU_15 has 135 (13.4%) missing values Missing
w1_E01JLU_16 has 138 (13.7%) missing values Missing
w1_E01JLU_17 has 141 (14.0%) missing values Missing
w1_E01JLU_18 has 138 (13.7%) missing values Missing
w1_E01JLU_19 has 145 (14.4%) missing values Missing
w1_E01JLU_20 has 135 (13.4%) missing values Missing
w1_E01JLU_21 has 135 (13.4%) missing values Missing
w1_E01JLU_22 has 137 (13.6%) missing values Missing
w1_E01JLU_23 has 138 (13.7%) missing values Missing
w1_E01JLU_24 has 137 (13.6%) missing values Missing
w1_E02_1 has 172 (17.1%) missing values Missing
w1_E02_2 has 174 (17.3%) missing values Missing
w1_E02_3 has 173 (17.2%) missing values Missing
w1_E02_4 has 174 (17.3%) missing values Missing
w1_E02_5 has 176 (17.5%) missing values Missing
w1_E02_6 has 175 (17.4%) missing values Missing
w1_E02_7 has 173 (17.2%) missing values Missing
w1_E02_8 has 174 (17.3%) missing values Missing
w1_E02_9 has 175 (17.4%) missing values Missing
w1_E02_10 has 175 (17.4%) missing values Missing
w1_E02_11 has 176 (17.5%) missing values Missing
w1_E02_12 has 175 (17.4%) missing values Missing
w1_E02_13 has 173 (17.2%) missing values Missing
w1_E02_14 has 174 (17.3%) missing values Missing
w1_E02_15 has 177 (17.6%) missing values Missing
w1_E02_16 has 176 (17.5%) missing values Missing
w1_E02_17 has 179 (17.8%) missing values Missing
w1_E02_18 has 180 (17.9%) missing values Missing
w1_E02_19 has 181 (18.0%) missing values Missing
w1_E02_20 has 175 (17.4%) missing values Missing
w1_E02_21 has 176 (17.5%) missing values Missing
w1_E03 has 152 (15.1%) missing values Missing
w1_E04 has 584 (58.0%) missing values Missing
w1_E05 has 715 (71.0%) missing values Missing
w1_E06 has 881 (87.5%) missing values Missing
w1_E07 has 887 (88.1%) missing values Missing
w1_E08 has 881 (87.5%) missing values Missing
w1_E09_1 has 880 (87.4%) missing values Missing
w1_E09_2 has 880 (87.4%) missing values Missing
w1_E09_3 has 880 (87.4%) missing values Missing
w1_E09_4 has 880 (87.4%) missing values Missing
w1_E09_5 has 881 (87.5%) missing values Missing
w1_E09_6 has 880 (87.4%) missing values Missing
w1_E09_7 has 880 (87.4%) missing values Missing
w1_F01 has 156 (15.5%) missing values Missing
w1_F02 has 643 (63.9%) missing values Missing
w1_F03_1 has 28 (2.8%) missing values Missing
w1_F03_2 has 28 (2.8%) missing values Missing
w1_F03_3 has 28 (2.8%) missing values Missing
w1_F03_4 has 28 (2.8%) missing values Missing
w1_F03_5 has 28 (2.8%) missing values Missing
w1_F03_6 has 28 (2.8%) missing values Missing
w1_F03_7 has 28 (2.8%) missing values Missing
w1_F03_8 has 28 (2.8%) missing values Missing
w1_F03_9 has 28 (2.8%) missing values Missing
w1_F03_10 has 28 (2.8%) missing values Missing
w1_F03_other has 982 (97.5%) missing values Missing
w1_F04_1 has 28 (2.8%) missing values Missing
w1_F04_2 has 28 (2.8%) missing values Missing
w1_F04_3 has 28 (2.8%) missing values Missing
w1_F04_4 has 28 (2.8%) missing values Missing
w1_F04_5 has 28 (2.8%) missing values Missing
w1_F04_6 has 28 (2.8%) missing values Missing
w1_F04_7 has 28 (2.8%) missing values Missing
w1_F04_8 has 28 (2.8%) missing values Missing
w1_F04_9 has 28 (2.8%) missing values Missing
w1_F04_10 has 28 (2.8%) missing values Missing
w1_F04_other has 1005 (99.8%) missing values Missing
w1_G01_1 has 179 (17.8%) missing values Missing
w1_G01_2 has 183 (18.2%) missing values Missing
w1_G01_3 has 183 (18.2%) missing values Missing
w1_G01_4 has 183 (18.2%) missing values Missing
w1_G01_5 has 182 (18.1%) missing values Missing
w1_G01_6 has 183 (18.2%) missing values Missing
w1_G01_7 has 187 (18.6%) missing values Missing
w1_G01_8 has 182 (18.1%) missing values Missing
w1_G01_9 has 200 (19.9%) missing values Missing
w1_G02_1 has 230 (22.8%) missing values Missing
w1_G02_2 has 186 (18.5%) missing values Missing
w1_G02_3 has 179 (17.8%) missing values Missing
w1_G02_4 has 182 (18.1%) missing values Missing
w1_G02_5 has 187 (18.6%) missing values Missing
w1_G02_6 has 185 (18.4%) missing values Missing
w1_G02_7 has 181 (18.0%) missing values Missing
w1_G02_8 has 182 (18.1%) missing values Missing
w1_G02_9 has 182 (18.1%) missing values Missing
w1_G02_10 has 182 (18.1%) missing values Missing
w1_G02_11 has 182 (18.1%) missing values Missing
w1_G02_12 has 180 (17.9%) missing values Missing
w1_G02_13 has 180 (17.9%) missing values Missing
w1_G02_14 has 179 (17.8%) missing values Missing
w1_G02_15 has 182 (18.1%) missing values Missing
w1_G02_16 has 180 (17.9%) missing values Missing
w1_G03_1 has 189 (18.8%) missing values Missing
w1_G03_2 has 187 (18.6%) missing values Missing
w1_G03_3 has 195 (19.4%) missing values Missing
w1_G03_4 has 188 (18.7%) missing values Missing
w1_G03_5 has 190 (18.9%) missing values Missing
w1_G03_6 has 197 (19.6%) missing values Missing
w1_G03_7 has 190 (18.9%) missing values Missing
w1_G03_8 has 192 (19.1%) missing values Missing
w1_G03_9 has 196 (19.5%) missing values Missing
w1_G03_10 has 193 (19.2%) missing values Missing
w1_G04_1 has 150 (14.9%) missing values Missing
w1_G04_2 has 149 (14.8%) missing values Missing
w1_G04_3 has 151 (15.0%) missing values Missing
w1_G04_4 has 158 (15.7%) missing values Missing
w1_G04_5 has 153 (15.2%) missing values Missing
w1_G04_6 has 150 (14.9%) missing values Missing
w1_G04_7 has 155 (15.4%) missing values Missing
w1_G04_8 has 153 (15.2%) missing values Missing
w1_G04_9 has 153 (15.2%) missing values Missing
w1_G04_10 has 151 (15.0%) missing values Missing
w1_G05_1 has 160 (15.9%) missing values Missing
w1_G05_2 has 160 (15.9%) missing values Missing
w1_G06 has 198 (19.7%) missing values Missing
w1_G07_1 has 176 (17.5%) missing values Missing
w1_G07_2 has 177 (17.6%) missing values Missing
w1_G08_1 has 28 (2.8%) missing values Missing
w1_G08_2 has 28 (2.8%) missing values Missing
w1_G08_3 has 28 (2.8%) missing values Missing
w1_G08_4 has 28 (2.8%) missing values Missing
w1_G08_5 has 28 (2.8%) missing values Missing
w1_G08_6 has 28 (2.8%) missing values Missing
w1_G08_7 has 28 (2.8%) missing values Missing
w1_G09 has 293 (29.1%) missing values Missing
w1_G10_1 has 192 (19.1%) missing values Missing
w1_G10_2 has 193 (19.2%) missing values Missing
w1_G10_3 has 201 (20.0%) missing values Missing
w1_G10_4 has 194 (19.3%) missing values Missing
w1_G11_1 has 194 (19.3%) missing values Missing
w1_G11_2 has 197 (19.6%) missing values Missing
w1_H01f has 157 (15.6%) missing values Missing
w1_H01f_other has 1002 (99.5%) missing values Missing
w1_H01m has 157 (15.6%) missing values Missing
w1_H01m_other has 998 (99.1%) missing values Missing
w1_H01fLSE has 1007 (100.0%) missing values Missing
w1_H01mLSE has 1007 (100.0%) missing values Missing
w1_H02f has 181 (18.0%) missing values Missing
w1_H03af has 601 (59.7%) missing values Missing
w1_H03af_other has 996 (98.9%) missing values Missing
w1_H03bf has 856 (85.0%) missing values Missing
w1_H03bf_other has 1001 (99.4%) missing values Missing
w1_H02m has 181 (18.0%) missing values Missing
w1_H03am has 662 (65.7%) missing values Missing
w1_H03am_other has 996 (98.9%) missing values Missing
w1_H03bm has 916 (91.0%) missing values Missing
w1_H03bm_other has 1003 (99.6%) missing values Missing
w1_I00 has 197 (19.6%) missing values Missing
w1_I01 has 684 (67.9%) missing values Missing
w1_I03 has 756 (75.1%) missing values Missing
w1_I04 has 734 (72.9%) missing values Missing
w1_BFI15_1 has 159 (15.8%) missing values Missing
w1_BFI15_2 has 159 (15.8%) missing values Missing
w1_BFI15_3 has 161 (16.0%) missing values Missing
w1_BFI15_4 has 161 (16.0%) missing values Missing
w1_BFI15_5 has 162 (16.1%) missing values Missing
w1_BFI15_6 has 161 (16.0%) missing values Missing
w1_BFI15_7 has 163 (16.2%) missing values Missing
w1_BFI15_8 has 163 (16.2%) missing values Missing
w1_BFI15_9 has 161 (16.0%) missing values Missing
w1_BFI15_10 has 164 (16.3%) missing values Missing
w1_BFI15_11 has 163 (16.2%) missing values Missing
w1_BFI15_12 has 163 (16.2%) missing values Missing
w1_BFI15_13 has 162 (16.1%) missing values Missing
w1_BFI15_14 has 162 (16.1%) missing values Missing
w1_BFI15_15 has 163 (16.2%) missing values Missing
w1_GT_BF15 has 143 (14.2%) missing values Missing
w1_N01 has 1007 (100.0%) missing values Missing
w1_N01_other has 1007 (100.0%) missing values Missing
w1_N02 has 1007 (100.0%) missing values Missing
w1_N03 has 1007 (100.0%) missing values Missing
w1_N04 has 1007 (100.0%) missing values Missing
w1_N05_1 has 1007 (100.0%) missing values Missing
w1_N05_2 has 1007 (100.0%) missing values Missing
w1_N05_3 has 1007 (100.0%) missing values Missing
w1_N05_4 has 1007 (100.0%) missing values Missing
w1_N05_5 has 1007 (100.0%) missing values Missing
w1_N05_6 has 1007 (100.0%) missing values Missing
w1_N05_7 has 1007 (100.0%) missing values Missing
w1_N05_8 has 1007 (100.0%) missing values Missing
w1_N06 has 1007 (100.0%) missing values Missing
w1_N06_other has 1007 (100.0%) missing values Missing
w1_interviewtime has 28 (2.8%) missing values Missing
w1_GT_A0 has 28 (2.8%) missing values Missing
w1_GT_A1 has 28 (2.8%) missing values Missing
w1_GT_B has 71 (7.1%) missing values Missing
w1_GT_C has 97 (9.6%) missing values Missing
w1_GT_D has 140 (13.9%) missing values Missing
w1_GT_E has 110 (10.9%) missing values Missing
w1_GT_F has 154 (15.3%) missing values Missing
w1_GT_G1 has 161 (16.0%) missing values Missing
w1_GT_G2 has 126 (12.5%) missing values Missing
w1_GT_G3 has 134 (13.3%) missing values Missing
w1_GT_H1 has 138 (13.7%) missing values Missing
w1_GT_H2 has 180 (17.9%) missing values Missing
w1_GT_I1 has 197 (19.6%) missing values Missing
w1_GT_I2 has 429 (42.6%) missing values Missing
w1_GT_N has 1007 (100.0%) missing values Missing
w1_A03JLU is highly skewed (γ1 = -21.87937575) Skewed
w1_D01 is highly skewed (γ1 = -28.93095228) Skewed
w1_G09 is highly skewed (γ1 = 26.72028751) Skewed
w1_GT_BF15 is highly skewed (γ1 = 20.06545438) Skewed
w1_GT_D is highly skewed (γ1 = 23.35264848) Skewed
w1_GT_F is highly skewed (γ1 = 27.30051718) Skewed
w1_GT_G1 is highly skewed (γ1 = 20.60610758) Skewed
w1_GT_H1 is highly skewed (γ1 = 23.93958707) Skewed
token has unique values Unique
w1_A03 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04LSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A05UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A05AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10LSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A11NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_C02_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01_19 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01fLSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01mLSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N01 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N01_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N02 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N03 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N04 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N06 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N06_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_GT_N is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_C01_1 has 556 (55.2%) zeros Zeros
w1_C01_2 has 408 (40.5%) zeros Zeros
w1_C01_3 has 504 (50.0%) zeros Zeros
w1_C01_4 has 38 (3.8%) zeros Zeros
w1_D01 has 11 (1.1%) zeros Zeros
w1_F02 has 15 (1.5%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:43:00.505196
Analysis finished2025-02-26 16:43:01.273874
Duration0.77 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct1007
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
2025-02-26T17:43:01.437645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.545183714
Min length2

Characters and Unicode

Total characters3570
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1007 ?
Unique (%)100.0%

Sample

1st row975
2nd row986
3rd row731
4th row285
5th row161
ValueCountFrequency (%)
975 1
 
0.1%
986 1
 
0.1%
731 1
 
0.1%
285 1
 
0.1%
161 1
 
0.1%
99 1
 
0.1%
48 1
 
0.1%
54 1
 
0.1%
75 1
 
0.1%
85 1
 
0.1%
Other values (997) 997
99.0%
2025-02-26T17:43:01.662987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 623
17.5%
2 339
9.5%
3 328
9.2%
5 287
8.0%
8 284
8.0%
0 281
7.9%
4 275
7.7%
6 273
7.6%
7 271
7.6%
9 266
7.5%
Other values (52) 343
9.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3570
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 623
17.5%
2 339
9.5%
3 328
9.2%
5 287
8.0%
8 284
8.0%
0 281
7.9%
4 275
7.7%
6 273
7.6%
7 271
7.6%
9 266
7.5%
Other values (52) 343
9.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3570
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 623
17.5%
2 339
9.5%
3 328
9.2%
5 287
8.0%
8 284
8.0%
0 281
7.9%
4 275
7.7%
6 273
7.6%
7 271
7.6%
9 266
7.5%
Other values (52) 343
9.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3570
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 623
17.5%
2 339
9.5%
3 328
9.2%
5 287
8.0%
8 284
8.0%
0 281
7.9%
4 275
7.7%
6 273
7.6%
7 271
7.6%
9 266
7.5%
Other values (52) 343
9.6%

w1_experimentid
Text

Constant  Missing 

experiment id

Distinct1
Distinct (%)0.1%
Missing28
Missing (%)2.8%
Memory size17.7 KiB
2025-02-26T17:43:01.733383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters9790
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetChina
2nd rowwenetChina
3rd rowwenetChina
4th rowwenetChina
5th rowwenetChina
ValueCountFrequency (%)
wenetchina 979
100.0%
2025-02-26T17:43:01.831912image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1958
20.0%
n 1958
20.0%
w 979
10.0%
t 979
10.0%
C 979
10.0%
h 979
10.0%
i 979
10.0%
a 979
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9790
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1958
20.0%
n 1958
20.0%
w 979
10.0%
t 979
10.0%
C 979
10.0%
h 979
10.0%
i 979
10.0%
a 979
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9790
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1958
20.0%
n 1958
20.0%
w 979
10.0%
t 979
10.0%
C 979
10.0%
h 979
10.0%
i 979
10.0%
a 979
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9790
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1958
20.0%
n 1958
20.0%
w 979
10.0%
t 979
10.0%
C 979
10.0%
h 979
10.0%
i 979
10.0%
a 979
10.0%

w1_fillinquest
Real number (ℝ)

Missing 

fillinquest

Distinct3
Distinct (%)0.3%
Missing28
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean4.742594484
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:01.871476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6562066501
Coefficient of variation (CV)0.1383644864
Kurtosis3.027668886
Mean4.742594484
Median Absolute Deviation (MAD)0
Skewness-2.219460141
Sum4643
Variance0.4306071677
MonotonicityNot monotonic
2025-02-26T17:43:01.910710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5 844
83.8%
3 117
 
11.6%
4 18
 
1.8%
(Missing) 28
 
2.8%
ValueCountFrequency (%)
3 117
 
11.6%
4 18
 
1.8%
5 844
83.8%
ValueCountFrequency (%)
5 844
83.8%
4 18
 
1.8%
3 117
 
11.6%

w1_lastpage
Real number (ℝ)

Missing 

last page

Distinct15
Distinct (%)1.5%
Missing28
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean13.70275792
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:01.950386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q115
median15
Q315
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.583720085
Coefficient of variation (CV)0.2615327591
Kurtosis5.238862346
Mean13.70275792
Median Absolute Deviation (MAD)0
Skewness-2.624246901
Sum13415
Variance12.84304965
MonotonicityNot monotonic
2025-02-26T17:43:01.988377image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
15 844
83.8%
2 44
 
4.4%
3 24
 
2.4%
13 15
 
1.5%
9 10
 
1.0%
5 8
 
0.8%
8 6
 
0.6%
6 5
 
0.5%
4 5
 
0.5%
7 4
 
0.4%
Other values (5) 14
 
1.4%
(Missing) 28
 
2.8%
ValueCountFrequency (%)
1 2
 
0.2%
2 44
4.4%
3 24
2.4%
4 5
 
0.5%
5 8
 
0.8%
ValueCountFrequency (%)
15 844
83.8%
14 3
 
0.3%
13 15
 
1.5%
12 3
 
0.3%
11 4
 
0.4%

w1_submitdate
Date

Missing 

date of submission

Distinct829
Distinct (%)98.2%
Missing163
Missing (%)16.2%
Memory size8.0 KiB
Minimum2020-10-10 04:30:08
Maximum2020-10-28 14:10:21
2025-02-26T17:43:02.033378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:43:02.086274image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_startlanguage
Text

Missing 

start language

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size14.8 KiB
2025-02-26T17:43:02.142148image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.994892748
Min length2

Characters and Unicode

Total characters6848
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowzh-Hans
2nd rowzh-Hans
3rd rowzh-Hans
4th rowzh-Hans
5th rowzh-Hans
ValueCountFrequency (%)
zh-hans 978
99.9%
en 1
 
0.1%
2025-02-26T17:43:02.235390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 979
14.3%
z 978
14.3%
h 978
14.3%
- 978
14.3%
H 978
14.3%
a 978
14.3%
s 978
14.3%
e 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6848
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 979
14.3%
z 978
14.3%
h 978
14.3%
- 978
14.3%
H 978
14.3%
a 978
14.3%
s 978
14.3%
e 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6848
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 979
14.3%
z 978
14.3%
h 978
14.3%
- 978
14.3%
H 978
14.3%
a 978
14.3%
s 978
14.3%
e 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6848
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 979
14.3%
z 978
14.3%
h 978
14.3%
- 978
14.3%
H 978
14.3%
a 978
14.3%
s 978
14.3%
e 1
 
< 0.1%

w1_startdate
Date

Missing 

Start date

Distinct953
Distinct (%)97.3%
Missing28
Missing (%)2.8%
Memory size8.0 KiB
Minimum2020-10-10 01:15:14
Maximum2020-10-28 13:58:14
2025-02-26T17:43:02.281766image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:43:02.336586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_datestamp
Date

Missing 

datestamp

Distinct959
Distinct (%)98.0%
Missing28
Missing (%)2.8%
Memory size8.0 KiB
Minimum2020-10-10 04:30:08
Maximum2020-10-28 14:10:21
2025-02-26T17:43:02.389896image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:43:02.443218image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_refurl
Text

Missing 

reference url

Distinct2
Distinct (%)22.2%
Missing998
Missing (%)99.1%
Memory size8.2 KiB
2025-02-26T17:43:02.518296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.66666667
Min length10

Characters and Unicode

Total characters105
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowlimesurvey
2nd rowsearch-engine
3rd rowlimesurvey
4th rowsearch-engine
5th rowlimesurvey
ValueCountFrequency (%)
search-engine 5
55.6%
limesurvey 4
44.4%
2025-02-26T17:43:02.640050image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 23
21.9%
n 10
9.5%
s 9
 
8.6%
r 9
 
8.6%
i 9
 
8.6%
a 5
 
4.8%
c 5
 
4.8%
h 5
 
4.8%
- 5
 
4.8%
g 5
 
4.8%
Other values (5) 20
19.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 105
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 23
21.9%
n 10
9.5%
s 9
 
8.6%
r 9
 
8.6%
i 9
 
8.6%
a 5
 
4.8%
c 5
 
4.8%
h 5
 
4.8%
- 5
 
4.8%
g 5
 
4.8%
Other values (5) 20
19.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 105
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 23
21.9%
n 10
9.5%
s 9
 
8.6%
r 9
 
8.6%
i 9
 
8.6%
a 5
 
4.8%
c 5
 
4.8%
h 5
 
4.8%
- 5
 
4.8%
g 5
 
4.8%
Other values (5) 20
19.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 105
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 23
21.9%
n 10
9.5%
s 9
 
8.6%
r 9
 
8.6%
i 9
 
8.6%
a 5
 
4.8%
c 5
 
4.8%
h 5
 
4.8%
- 5
 
4.8%
g 5
 
4.8%
Other values (5) 20
19.0%

w1_A00_1
Real number (ℝ)

Missing 

Having read the informative and the privacy policy in the email (also linked below) ...do you agree to participate in the WENET-Internet of us survey and tell us about your experience as a student at the University of […]?

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean1.049029622
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:02.681770image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2160402573
Coefficient of variation (CV)0.2059429522
Kurtosis15.53272945
Mean1.049029622
Median Absolute Deviation (MAD)0
Skewness4.183419862
Sum1027
Variance0.04667339278
MonotonicityNot monotonic
2025-02-26T17:43:02.720085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 931
92.5%
2 48
 
4.8%
(Missing) 28
 
2.8%
ValueCountFrequency (%)
1 931
92.5%
2 48
 
4.8%
ValueCountFrequency (%)
2 48
 
4.8%
1 931
92.5%

w1_A00_2
Real number (ℝ)

Missing 

Having read the informative and the privacy policy in the email (also linked below) ...do you authorize access to your university administrative data?

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean1.187946885
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:02.756361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3908694274
Coefficient of variation (CV)0.3290293804
Kurtosis0.5610826596
Mean1.187946885
Median Absolute Deviation (MAD)0
Skewness1.599981437
Sum1163
Variance0.1527789092
MonotonicityNot monotonic
2025-02-26T17:43:02.793222image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 795
78.9%
2 184
 
18.3%
(Missing) 28
 
2.8%
ValueCountFrequency (%)
1 795
78.9%
2 184
 
18.3%
ValueCountFrequency (%)
2 184
 
18.3%
1 795
78.9%

w1_A01
Real number (ℝ)

Missing 

Which gender were you born? 1. Male, 2. Female?

Distinct2
Distinct (%)0.2%
Missing58
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean1.565858799
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:02.830063image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4959049873
Coefficient of variation (CV)0.3166984071
Kurtosis-1.933231435
Mean1.565858799
Median Absolute Deviation (MAD)0
Skewness-0.2661715037
Sum1486
Variance0.2459217564
MonotonicityNot monotonic
2025-02-26T17:43:02.868008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 537
53.3%
1 412
40.9%
(Missing) 58
 
5.8%
ValueCountFrequency (%)
1 412
40.9%
2 537
53.3%
ValueCountFrequency (%)
2 537
53.3%
1 412
40.9%

w1_A02
Real number (ℝ)

Missing 

When were you born? Year:

Distinct18
Distinct (%)2.0%
Missing87
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean2000.013043
Minimum1982
Maximum2013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:02.904737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1982
5-th percentile1995.95
Q11998
median2001
Q32002
95-th percentile2002
Maximum2013
Range31
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.456109497
Coefficient of variation (CV)0.001228046739
Kurtosis4.422534849
Mean2000.013043
Median Absolute Deviation (MAD)1
Skewness-1.067878882
Sum1840012
Variance6.032473861
MonotonicityNot monotonic
2025-02-26T17:43:02.944753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2002 272
27.0%
2001 234
23.2%
2000 122
12.1%
1997 84
 
8.3%
1998 55
 
5.5%
1996 49
 
4.9%
1999 32
 
3.2%
1995 25
 
2.5%
2003 20
 
2.0%
1994 13
 
1.3%
Other values (8) 14
 
1.4%
(Missing) 87
 
8.6%
ValueCountFrequency (%)
1982 1
 
0.1%
1990 1
 
0.1%
1991 1
 
0.1%
1992 2
0.2%
1993 3
0.3%
ValueCountFrequency (%)
2013 1
 
0.1%
2012 1
 
0.1%
2004 4
 
0.4%
2003 20
 
2.0%
2002 272
27.0%

w1_A03
Unsupported

Missing  Rejected  Unsupported 

What is your nationality? [List, see Appendix]

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A03JLU
Real number (ℝ)

Missing  Skewed 

What is your nationality? [List, see Appendix]

Distinct3
Distinct (%)0.3%
Missing50
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean45.90909091
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:02.982347image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile46
Q146
median46
Q346
95-th percentile46
Maximum46
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.988747348
Coefficient of variation (CV)0.04331924916
Kurtosis478.2763594
Mean45.90909091
Median Absolute Deviation (MAD)0
Skewness-21.87937575
Sum43935
Variance3.955116014
MonotonicityNot monotonic
2025-02-26T17:43:03.017205image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
46 955
94.8%
1 1
 
0.1%
4 1
 
0.1%
(Missing) 50
 
5.0%
ValueCountFrequency (%)
1 1
 
0.1%
4 1
 
0.1%
46 955
94.8%
ValueCountFrequency (%)
46 955
94.8%
4 1
 
0.1%
1 1
 
0.1%

w1_A04AMRITA
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer:

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A04AMRITA_other
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer:

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A04AAU
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04AAU. [List, see Appendix]:1. Electronic Systems 2. Architecture, Design and Media Technology 3. Chemistry and Bioscience 4. Communication and Psychology 5. Culture and Learning 6. Planning 7. Mathematical Sciences 8. Materials and Production 9. Business and Management 10. Sociology and Social Work 11. Political Science 12. Clinical Medicine 13. Built Environment

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A04JLU
Real number (ℝ)

Missing 

Question: In what faculty/department are you studying? | Answer: A04JLU. [List, see Appendix]1. School of Philosophy and Society 2. Art college 3. Archaeological Institute 4. Foreign Language School 5. Art Academy 6. Sports Academy 7. School of Mathematics 8. School of Physics 9. School of Chemistry 10. College of Life Sciences 11. School of Electronic Science and Engineering 12. School of Communication Engineering 13. School of Computer Science and Technology 14. Software College 15. School of Economics 16. Law school 17. School of Administration 18. Business school 19. Institute of Finance 20. School of Mechanical Engineering 21. School of Automotive Engineering 22. material science and Engineering School 23. Jiaotong University 24. College of Biological and Agricultural Engineering 25. School of Management 26. School of Food Science and Engineering 27. School of Earth Sciences 28. School of Earth Exploration Science and Technology 29. School of Construction Engineering 30. School of New Energy and Environment 31. School of Instrument Science and Electrical Engineering 32. Basic Medical School 33. School of Public Health 34. College of Pharmacy 35. School of Nursing 36. School of Clinical Medicine 37. Bethune First Hospital 38. Bethune Second Hospital 39. Bethune Third Hospital 40. Bethune Dental Hospital 41. School of Animal Medicine 42. Faculty of Plant Science 43. College of Animal Science 44. Artificial Intelligence Academy

Distinct33
Distinct (%)3.6%
Missing87
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean12.91847826
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:03.057491image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q111
median13
Q315
95-th percentile18
Maximum44
Range43
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.840232218
Coefficient of variation (CV)0.5294921027
Kurtosis7.626921563
Mean12.91847826
Median Absolute Deviation (MAD)2
Skewness1.813950342
Sum11885
Variance46.78877679
MonotonicityNot monotonic
2025-02-26T17:43:03.104355image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
13 319
31.7%
15 102
 
10.1%
11 66
 
6.6%
18 66
 
6.6%
16 66
 
6.6%
4 64
 
6.4%
1 38
 
3.8%
10 37
 
3.7%
2 28
 
2.8%
17 24
 
2.4%
Other values (23) 110
 
10.9%
(Missing) 87
 
8.6%
ValueCountFrequency (%)
1 38
3.8%
2 28
2.8%
3 2
 
0.2%
4 64
6.4%
7 19
 
1.9%
ValueCountFrequency (%)
44 9
0.9%
43 9
0.9%
42 2
 
0.2%
41 1
 
0.1%
39 1
 
0.1%

w1_A04LSE
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04LSE. [List, see Appendix]1. Department of Accounting 2. Department of Anthropology 3. Department of Economics 4. Department of Economic History 5. European Institute 6. Department of Finance 7. Department of Gender Studies 8. Department of Geography and Environment 9. Institute of Global Affairs (IGA) 10. Department of Government 11. Department of Health Policy 12. Department of International Development 13. Department of International History 14. International Inequalities Institute 15. Department of International Relations 16. Language Centre 17. Department of Law 18. Department of Management 19. Marshall Institute 20. Department of Mathematics 21. Department of Media and Communications 22. Department of Methodology 23. Department of Philosophy, Logic and Scientific Method 24. Department of Psychological and Behavioural Science 25. School of Public Policy (formerly Institute of Public Affairs) 26. Department of Social Policy 27. Department of Sociology 28. Department of Statistics

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A04NUM
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04NUM. [List, see Appendix]1. Business School 2. School of International Relations and Public Administration 3. School of Law 4. School of Engineering and Applied Sciences 5. School of Sciences – Division of Social Sciences 6. School of Sciences – Division of Natural Sciences 7. School of Sciences – Division of Humanities

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A04UC
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04UC. [List, see Appendix]1. Facultad de Ciencias Contables, Administrativas y Económicas 2. Facultad de Ciencias y Tecnología 3. Facultad de Ciencias de la Salud 4. Facultad de Ciencias Jurídicas y Diplomáticas 5. Facultad de Filosofía y Ciencias Humanas

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A04UNITN
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04UNITN. [List, see Appendix]1. CIBIO 2. Economics and Management 3. Faculty of Law 4. Physics 5. Civil, Environmental and Mechanical Engineering 6. Information Engineering and Computer Science 7. Industrial Engineering 8. Humanities 9. Mathematics 10. Psychology and Cognitive Science 11. Sociology and Social Research 12. Center Agriculture Food Environment 13. CIMeC - Centre for Mind/Brain Sciences 14. SSI - School of International Studies 15. Other structures

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A04IPICYT
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04IPICYT. [List, see Appendix]

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A05
Real number (ℝ)

Missing 

Type of degree: 1. BSc, 2. MSc, 3.PhD

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean1.249233912
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:03.145046image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4327905899
Coefficient of variation (CV)0.3464447976
Kurtosis-0.6529396421
Mean1.249233912
Median Absolute Deviation (MAD)0
Skewness1.161205593
Sum1223
Variance0.1873076947
MonotonicityNot monotonic
2025-02-26T17:43:03.185177image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 735
73.0%
2 244
 
24.2%
(Missing) 28
 
2.8%
ValueCountFrequency (%)
1 735
73.0%
2 244
 
24.2%
ValueCountFrequency (%)
2 244
 
24.2%
1 735
73.0%

w1_A05UNITN
Unsupported

Missing  Rejected  Unsupported 

Type of degree: 1. BSc, 2. MSc, 3. 5 years

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A05AMRITA
Unsupported

Missing  Rejected  Unsupported 

Type of degree: 1. BSc, 2. MSc, 3.M.B.B.S, 4.MBA, 5.M.Tech, 6.B.Tech, 7.Integrated degree, 8.MHA, 9.B.Pharm, 10.M.D, 11.B.A.M.S, 12.BCA, 13.M.Pharm, 14.MCA, 15.M.S, 16.Mch

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A06
Real number (ℝ)

Missing 

Programme: 1. Full Time, 2. Part Time

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean1.015321757
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:03.223562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1228919324
Coefficient of variation (CV)0.1210374263
Kurtosis60.59739321
Mean1.015321757
Median Absolute Deviation (MAD)0
Skewness7.904024459
Sum994
Variance0.01510242704
MonotonicityNot monotonic
2025-02-26T17:43:03.260877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 964
95.7%
2 15
 
1.5%
(Missing) 28
 
2.8%
ValueCountFrequency (%)
1 964
95.7%
2 15
 
1.5%
ValueCountFrequency (%)
2 15
 
1.5%
1 964
95.7%

w1_A07
Real number (ℝ)

Missing 

[Not for LSE if A05=2 AND A06=1] Course year

Distinct6
Distinct (%)0.6%
Missing45
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean1.621621622
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:03.298447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum11
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8200595587
Coefficient of variation (CV)0.5057033945
Kurtosis34.94580629
Mean1.621621622
Median Absolute Deviation (MAD)0
Skewness3.712986723
Sum1560
Variance0.6724976798
MonotonicityNot monotonic
2025-02-26T17:43:03.334087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 487
48.4%
2 381
37.8%
3 81
 
8.0%
4 9
 
0.9%
5 2
 
0.2%
11 2
 
0.2%
(Missing) 45
 
4.5%
ValueCountFrequency (%)
1 487
48.4%
2 381
37.8%
3 81
 
8.0%
4 9
 
0.9%
5 2
 
0.2%
ValueCountFrequency (%)
11 2
 
0.2%
5 2
 
0.2%
4 9
 
0.9%
3 81
 
8.0%
2 381
37.8%

w1_A08
Real number (ℝ)

Missing 

You are: 1. Regularly enrolled for a BAs/MAs degree, 2. Register on supplementary year

Distinct2
Distinct (%)0.2%
Missing88
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean1.003264418
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:03.369911image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0570728116
Coefficient of variation (CV)0.05688710831
Kurtosis302.9890925
Mean1.003264418
Median Absolute Deviation (MAD)0
Skewness17.44504821
Sum922
Variance0.003257305824
MonotonicityNot monotonic
2025-02-26T17:43:03.470268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 916
91.0%
2 3
 
0.3%
(Missing) 88
 
8.7%
ValueCountFrequency (%)
1 916
91.0%
2 3
 
0.3%
ValueCountFrequency (%)
2 3
 
0.3%
1 916
91.0%

w1_A09
Unsupported

Missing  Rejected  Unsupported 

[Not for LSE, NUM, UC and UNITN] Where do you live during term time?: 1. In the town where the university is located. 2. Close to the city where the university is located (less than 1.30 hours of travel). [go to A11] 3. In another city away from where the university is located (more than 1.30 hours of travel) [go to A11] 4. Abroad (e.g., Erasmus student) [go to B01]

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A09UNITN
Unsupported

Missing  Rejected  Unsupported 

Where do you live during term time? [See Appendix] 1. Trento [go to A10UNITN] 2. Rovereto 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A09UC
Unsupported

Missing  Rejected  Unsupported 

Where do you live during term time? [See Appendix]1. Asunción [go to A10UC] 2. In the town where the university is located. 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A10UNITN
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? And exactly in which district of the town do you live? [See Appendix]1. Center (from Cristo Re/San Martino to Fersina) 2. Piedicastello/Vela 3. Trento North (from Gardolo to loc.Solteri/Via Brennero/Via Maccani) 4. North of Gardolo (Lavis, Meano, Spini) 5. Argentario (Cognola/Martignano/Montevaccino/Villamontagna) 6. East hill (Mesiano/Povo/Oltrecastello/San Donà/Cognola/Villazzano) 7. Trento South (Bolghera/Clarina/San Bartolomeo/Madonna Bianca/Villazzano Tre) 8. Mattarello/Ravina/Romagnano 9. Bondone/Cadine/Sardagna/Sopramonte

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A10AAU
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? And exactly in which neighbourhood of the town do you live? [See Appendix]1. Vesterbro/Kongens Enghave 2. Nørrebro 3. Østerbro 4. Amager Øst 5. Amager Vest 6. Valby 7. Bispebjerg 8. Vanløse 9. Brønshøj-Husum

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A10NUM
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? Please, enter the zip code of where you live during term time [See Appendix]

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A10LSE
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? What is your first three digits of post code? [See Appendix]1. London Central (30 minutes from LSE) 2. Outer London (1hour from LSE) 3. Outside London

Missing1007
Missing (%)100.0%
Memory size8.1 KiB

w1_A10UC
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? What area exactly do you live in? [See Appendix]1. Centro 2. Sajonia 3. San Vicente y Santa Ana 4. Mcal López1 (entre Brasil y Gral Santos) 5. España1 (entre Brasil y Gral Santos) 6. Mcal López2 (entre Gral Santos y Rca. Argentina) 7. España2 (entre Gral Santos y Rca. Argentina) 8. Pinoza/ Seminario 9. Los Laureles 10. Shopping del Sol hasta calle Última 11. Trinidad 12. Loma Pyta

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A10IPICYT
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? In which area do you live? [See Appendix]

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A11NUM
Unsupported

Missing  Rejected  Unsupported 

What kind of accommodation are you living in? [See Appendix]1. University dormitory (dormitory) 2. In the university apartment 3. Dormitory (Private dormitory) 4. Rental apartment / house 5. Own apartment or house (may be yours, parents 'or relatives') 6. As a private guest / guest (adjoining room for rent) 7. As a friend or guest of friends 8. Mongolian ger and fence 9. Fence in the house

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_A11
Unsupported

Missing  Rejected  Unsupported 

What kind of accommodation are you living in? 1. University students’ Residence (dormitory) (e.g. LSE Hall of Residence, San Bartolameo, Danmarks Internationale Kollegium) 2. University flat 3. University campus4. A private sector Hall of Residence (Private students’ dormitory)5. Rental house/flat 6. in a house/apartment owned (by you, your parents, or relatives) 7. guest of a private person8. guest of friend or friends

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B01_1
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am the life of the party

Distinct5
Distinct (%)0.6%
Missing129
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean2.638952164
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:03.506361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.1903009
Coefficient of variation (CV)0.4510505784
Kurtosis-0.9780373856
Mean2.638952164
Median Absolute Deviation (MAD)1
Skewness0.2210437784
Sum2317
Variance1.416816233
MonotonicityNot monotonic
2025-02-26T17:43:03.546938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 261
25.9%
3 199
19.8%
4 192
19.1%
1 175
17.4%
5 51
 
5.1%
(Missing) 129
12.8%
ValueCountFrequency (%)
1 175
17.4%
2 261
25.9%
3 199
19.8%
4 192
19.1%
5 51
 
5.1%
ValueCountFrequency (%)
5 51
 
5.1%
4 192
19.1%
3 199
19.8%
2 261
25.9%
1 175
17.4%

w1_B01_2
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Sympathize with others’ feelings

Distinct5
Distinct (%)0.6%
Missing130
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean4.086659065
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:03.586322image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9137545551
Coefficient of variation (CV)0.2235945159
Kurtosis1.738761228
Mean4.086659065
Median Absolute Deviation (MAD)1
Skewness-1.260813983
Sum3584
Variance0.8349473871
MonotonicityNot monotonic
2025-02-26T17:43:03.626386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 430
42.7%
5 304
30.2%
3 76
 
7.5%
2 49
 
4.9%
1 18
 
1.8%
(Missing) 130
 
12.9%
ValueCountFrequency (%)
1 18
 
1.8%
2 49
 
4.9%
3 76
 
7.5%
4 430
42.7%
5 304
30.2%
ValueCountFrequency (%)
5 304
30.2%
4 430
42.7%
3 76
 
7.5%
2 49
 
4.9%
1 18
 
1.8%

w1_B01_3
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get chores done right away

Distinct5
Distinct (%)0.6%
Missing129
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean3.599088838
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:03.665221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.009012563
Coefficient of variation (CV)0.2803522248
Kurtosis-0.2755321462
Mean3.599088838
Median Absolute Deviation (MAD)1
Skewness-0.5891006108
Sum3160
Variance1.018106352
MonotonicityNot monotonic
2025-02-26T17:43:03.705720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 406
40.3%
3 177
17.6%
5 146
 
14.5%
2 126
 
12.5%
1 23
 
2.3%
(Missing) 129
 
12.8%
ValueCountFrequency (%)
1 23
 
2.3%
2 126
 
12.5%
3 177
17.6%
4 406
40.3%
5 146
 
14.5%
ValueCountFrequency (%)
5 146
 
14.5%
4 406
40.3%
3 177
17.6%
2 126
 
12.5%
1 23
 
2.3%

w1_B01_4
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have frequent mood swings

Distinct5
Distinct (%)0.6%
Missing132
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean3.339428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:03.744922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.223431473
Coefficient of variation (CV)0.3663595275
Kurtosis-0.9457107362
Mean3.339428571
Median Absolute Deviation (MAD)1
Skewness-0.3127015518
Sum2922
Variance1.49678457
MonotonicityNot monotonic
2025-02-26T17:43:03.784877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 284
28.2%
3 177
17.6%
2 177
17.6%
5 166
16.5%
1 71
 
7.1%
(Missing) 132
13.1%
ValueCountFrequency (%)
1 71
 
7.1%
2 177
17.6%
3 177
17.6%
4 284
28.2%
5 166
16.5%
ValueCountFrequency (%)
5 166
16.5%
4 284
28.2%
3 177
17.6%
2 177
17.6%
1 71
 
7.1%

w1_B01_5
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have a vivid imagination

Distinct5
Distinct (%)0.6%
Missing133
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean3.902745995
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:03.825095image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.0269749
Coefficient of variation (CV)0.263141619
Kurtosis0.179087259
Mean3.902745995
Median Absolute Deviation (MAD)1
Skewness-0.8411656632
Sum3411
Variance1.054677445
MonotonicityNot monotonic
2025-02-26T17:43:03.866290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 342
34.0%
5 282
28.0%
3 156
15.5%
2 71
 
7.1%
1 23
 
2.3%
(Missing) 133
 
13.2%
ValueCountFrequency (%)
1 23
 
2.3%
2 71
 
7.1%
3 156
15.5%
4 342
34.0%
5 282
28.0%
ValueCountFrequency (%)
5 282
28.0%
4 342
34.0%
3 156
15.5%
2 71
 
7.1%
1 23
 
2.3%

w1_B01_6
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Don’t talk a lot

Distinct5
Distinct (%)0.6%
Missing133
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean3.012585812
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:03.907309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.325951022
Coefficient of variation (CV)0.4401371793
Kurtosis-1.188341416
Mean3.012585812
Median Absolute Deviation (MAD)1
Skewness-0.01425967222
Sum2633
Variance1.758146112
MonotonicityNot monotonic
2025-02-26T17:43:03.946737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 212
21.1%
2 207
20.6%
3 176
17.5%
5 141
14.0%
1 138
13.7%
(Missing) 133
13.2%
ValueCountFrequency (%)
1 138
13.7%
2 207
20.6%
3 176
17.5%
4 212
21.1%
5 141
14.0%
ValueCountFrequency (%)
5 141
14.0%
4 212
21.1%
3 176
17.5%
2 207
20.6%
1 138
13.7%

w1_B01_7
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in other people’s problems

Distinct5
Distinct (%)0.6%
Missing132
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean2.373714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:03.985657image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.075414575
Coefficient of variation (CV)0.4530513979
Kurtosis-0.3781243829
Mean2.373714286
Median Absolute Deviation (MAD)1
Skewness0.575437156
Sum2077
Variance1.156516509
MonotonicityNot monotonic
2025-02-26T17:43:04.027560image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 352
35.0%
1 189
18.8%
3 184
18.3%
4 118
 
11.7%
5 32
 
3.2%
(Missing) 132
 
13.1%
ValueCountFrequency (%)
1 189
18.8%
2 352
35.0%
3 184
18.3%
4 118
 
11.7%
5 32
 
3.2%
ValueCountFrequency (%)
5 32
 
3.2%
4 118
 
11.7%
3 184
18.3%
2 352
35.0%
1 189
18.8%

w1_B01_8
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Often forget to put things back in their proper place

Distinct5
Distinct (%)0.6%
Missing132
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean2.822857143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:04.067841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.32979535
Coefficient of variation (CV)0.4710813485
Kurtosis-1.217777791
Mean2.822857143
Median Absolute Deviation (MAD)1
Skewness0.1049516628
Sum2470
Variance1.768355672
MonotonicityNot monotonic
2025-02-26T17:43:04.107890image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 216
21.4%
4 213
21.2%
1 181
18.0%
3 160
15.9%
5 105
10.4%
(Missing) 132
13.1%
ValueCountFrequency (%)
1 181
18.0%
2 216
21.4%
3 160
15.9%
4 213
21.2%
5 105
10.4%
ValueCountFrequency (%)
5 105
10.4%
4 213
21.2%
3 160
15.9%
2 216
21.4%
1 181
18.0%

w1_B01_9
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am relaxed most of the time

Distinct5
Distinct (%)0.6%
Missing134
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean3.192439863
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:04.146823image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.211408926
Coefficient of variation (CV)0.3794617842
Kurtosis-1.034111421
Mean3.192439863
Median Absolute Deviation (MAD)1
Skewness-0.1170270602
Sum2787
Variance1.467511586
MonotonicityNot monotonic
2025-02-26T17:43:04.187479image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 254
25.2%
2 218
21.6%
3 191
19.0%
5 138
13.7%
1 72
 
7.1%
(Missing) 134
13.3%
ValueCountFrequency (%)
1 72
 
7.1%
2 218
21.6%
3 191
19.0%
4 254
25.2%
5 138
13.7%
ValueCountFrequency (%)
5 138
13.7%
4 254
25.2%
3 191
19.0%
2 218
21.6%
1 72
 
7.1%

w1_B01_10
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in abstract ideas

Distinct5
Distinct (%)0.6%
Missing134
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean2.680412371
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:04.227972image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.211486998
Coefficient of variation (CV)0.4519778417
Kurtosis-0.8316813905
Mean2.680412371
Median Absolute Deviation (MAD)1
Skewness0.3442605654
Sum2340
Variance1.467700747
MonotonicityNot monotonic
2025-02-26T17:43:04.269363image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 282
28.0%
3 206
20.5%
1 154
15.3%
4 151
15.0%
5 80
 
7.9%
(Missing) 134
13.3%
ValueCountFrequency (%)
1 154
15.3%
2 282
28.0%
3 206
20.5%
4 151
15.0%
5 80
 
7.9%
ValueCountFrequency (%)
5 80
 
7.9%
4 151
15.0%
3 206
20.5%
2 282
28.0%
1 154
15.3%

w1_B01_11
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Talk to a lot of different people at parties

Distinct5
Distinct (%)0.6%
Missing132
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean3.017142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:04.309044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.307758426
Coefficient of variation (CV)0.4334426603
Kurtosis-1.187388214
Mean3.017142857
Median Absolute Deviation (MAD)1
Skewness-0.02865049195
Sum2640
Variance1.710232102
MonotonicityNot monotonic
2025-02-26T17:43:04.348647image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 232
23.0%
2 219
21.7%
3 163
16.2%
5 131
13.0%
1 130
12.9%
(Missing) 132
13.1%
ValueCountFrequency (%)
1 130
12.9%
2 219
21.7%
3 163
16.2%
4 232
23.0%
5 131
13.0%
ValueCountFrequency (%)
5 131
13.0%
4 232
23.0%
3 163
16.2%
2 219
21.7%
1 130
12.9%

w1_B01_12
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Feel others’ emotions

Distinct5
Distinct (%)0.6%
Missing133
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean3.864988558
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:04.388493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9620928945
Coefficient of variation (CV)0.2489251598
Kurtosis0.5657089037
Mean3.864988558
Median Absolute Deviation (MAD)1
Skewness-0.8567609461
Sum3378
Variance0.9256227376
MonotonicityNot monotonic
2025-02-26T17:43:04.427946image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 400
39.7%
5 229
22.7%
3 165
16.4%
2 58
 
5.8%
1 22
 
2.2%
(Missing) 133
 
13.2%
ValueCountFrequency (%)
1 22
 
2.2%
2 58
 
5.8%
3 165
16.4%
4 400
39.7%
5 229
22.7%
ValueCountFrequency (%)
5 229
22.7%
4 400
39.7%
3 165
16.4%
2 58
 
5.8%
1 22
 
2.2%

w1_B01_13
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Like order

Distinct5
Distinct (%)0.6%
Missing134
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean3.920962199
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:04.467146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.016800608
Coefficient of variation (CV)0.2593242568
Kurtosis0.3878029494
Mean3.920962199
Median Absolute Deviation (MAD)1
Skewness-0.8974487967
Sum3423
Variance1.033883477
MonotonicityNot monotonic
2025-02-26T17:43:04.509376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 349
34.7%
5 283
28.1%
3 155
15.4%
2 61
 
6.1%
1 25
 
2.5%
(Missing) 134
 
13.3%
ValueCountFrequency (%)
1 25
 
2.5%
2 61
 
6.1%
3 155
15.4%
4 349
34.7%
5 283
28.1%
ValueCountFrequency (%)
5 283
28.1%
4 349
34.7%
3 155
15.4%
2 61
 
6.1%
1 25
 
2.5%

w1_B01_14
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get upset easily

Distinct5
Distinct (%)0.6%
Missing133
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean3.273455378
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:04.549733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.240609245
Coefficient of variation (CV)0.3789907307
Kurtosis-1.036734649
Mean3.273455378
Median Absolute Deviation (MAD)1
Skewness-0.237596439
Sum2861
Variance1.5391113
MonotonicityNot monotonic
2025-02-26T17:43:04.590773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 273
27.1%
2 196
19.5%
3 170
16.9%
5 158
15.7%
1 77
 
7.6%
(Missing) 133
13.2%
ValueCountFrequency (%)
1 77
 
7.6%
2 196
19.5%
3 170
16.9%
4 273
27.1%
5 158
15.7%
ValueCountFrequency (%)
5 158
15.7%
4 273
27.1%
3 170
16.9%
2 196
19.5%
1 77
 
7.6%

w1_B01_15
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have difficulty understanding abstract ideas

Distinct5
Distinct (%)0.6%
Missing133
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean2.842105263
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:04.630335image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.163698003
Coefficient of variation (CV)0.4094492974
Kurtosis-0.8732992515
Mean2.842105263
Median Absolute Deviation (MAD)1
Skewness0.174440489
Sum2484
Variance1.354193043
MonotonicityNot monotonic
2025-02-26T17:43:04.671307image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 270
26.8%
3 225
22.3%
4 194
19.3%
1 108
 
10.7%
5 77
 
7.6%
(Missing) 133
13.2%
ValueCountFrequency (%)
1 108
 
10.7%
2 270
26.8%
3 225
22.3%
4 194
19.3%
5 77
 
7.6%
ValueCountFrequency (%)
5 77
 
7.6%
4 194
19.3%
3 225
22.3%
2 270
26.8%
1 108
 
10.7%

w1_B01_16
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Keep in the background

Distinct5
Distinct (%)0.6%
Missing133
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean3.280320366
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:04.711168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.200573322
Coefficient of variation (CV)0.3659927042
Kurtosis-0.9625735241
Mean3.280320366
Median Absolute Deviation (MAD)1
Skewness-0.2179143252
Sum2867
Variance1.4413763
MonotonicityNot monotonic
2025-02-26T17:43:04.752445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 270
26.8%
3 195
19.4%
2 193
19.2%
5 150
14.9%
1 66
 
6.6%
(Missing) 133
13.2%
ValueCountFrequency (%)
1 66
 
6.6%
2 193
19.2%
3 195
19.4%
4 270
26.8%
5 150
14.9%
ValueCountFrequency (%)
5 150
14.9%
4 270
26.8%
3 195
19.4%
2 193
19.2%
1 66
 
6.6%

w1_B01_17
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not really interested in others

Distinct5
Distinct (%)0.6%
Missing133
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean2.463386728
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:04.791892image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.149395167
Coefficient of variation (CV)0.4665914426
Kurtosis-0.5602399404
Mean2.463386728
Median Absolute Deviation (MAD)1
Skewness0.5071268773
Sum2153
Variance1.32110925
MonotonicityNot monotonic
2025-02-26T17:43:04.832387image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 307
30.5%
3 201
20.0%
1 193
19.2%
4 122
 
12.1%
5 51
 
5.1%
(Missing) 133
13.2%
ValueCountFrequency (%)
1 193
19.2%
2 307
30.5%
3 201
20.0%
4 122
 
12.1%
5 51
 
5.1%
ValueCountFrequency (%)
5 51
 
5.1%
4 122
 
12.1%
3 201
20.0%
2 307
30.5%
1 193
19.2%

w1_B01_18
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Make a mess of things

Distinct5
Distinct (%)0.6%
Missing134
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean2.303550974
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:04.873131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.099707526
Coefficient of variation (CV)0.4773966534
Kurtosis-0.4211418492
Mean2.303550974
Median Absolute Deviation (MAD)1
Skewness0.6328551591
Sum2011
Variance1.209356642
MonotonicityNot monotonic
2025-02-26T17:43:04.914271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 344
34.2%
1 223
22.1%
3 154
15.3%
4 122
 
12.1%
5 30
 
3.0%
(Missing) 134
 
13.3%
ValueCountFrequency (%)
1 223
22.1%
2 344
34.2%
3 154
15.3%
4 122
 
12.1%
5 30
 
3.0%
ValueCountFrequency (%)
5 30
 
3.0%
4 122
 
12.1%
3 154
15.3%
2 344
34.2%
1 223
22.1%

w1_B01_19
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Seldom feel blue

Distinct5
Distinct (%)0.6%
Missing133
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean3.035469108
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:04.955480image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.239803987
Coefficient of variation (CV)0.4084390067
Kurtosis-1.062301049
Mean3.035469108
Median Absolute Deviation (MAD)1
Skewness0.02661204025
Sum2653
Variance1.537113926
MonotonicityNot monotonic
2025-02-26T17:43:04.995212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 238
23.6%
4 217
21.5%
3 197
19.6%
5 124
12.3%
1 98
9.7%
(Missing) 133
13.2%
ValueCountFrequency (%)
1 98
9.7%
2 238
23.6%
3 197
19.6%
4 217
21.5%
5 124
12.3%
ValueCountFrequency (%)
5 124
12.3%
4 217
21.5%
3 197
19.6%
2 238
23.6%
1 98
9.7%

w1_B01_20
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Do not have a good imagination

Distinct5
Distinct (%)0.6%
Missing135
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean2.214449541
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.034307image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.090033092
Coefficient of variation (CV)0.4922365906
Kurtosis-0.2409378655
Mean2.214449541
Median Absolute Deviation (MAD)1
Skewness0.6811281439
Sum1931
Variance1.188172142
MonotonicityNot monotonic
2025-02-26T17:43:05.075882image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 300
29.8%
1 266
26.4%
3 190
18.9%
4 85
 
8.4%
5 31
 
3.1%
(Missing) 135
13.4%
ValueCountFrequency (%)
1 266
26.4%
2 300
29.8%
3 190
18.9%
4 85
 
8.4%
5 31
 
3.1%
ValueCountFrequency (%)
5 31
 
3.1%
4 85
 
8.4%
3 190
18.9%
2 300
29.8%
1 266
26.4%

w1_B02_1
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SOCIAL SUPPORT. To obtain help when you need it; to feel that you are not alone in the world.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_2
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SUCCESS. To reach your goals; to be efficient in everything you do.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_3
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SEXUALITY. To have sexual relationships; to obtain sexual pleasure.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_4
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: KNOWLEDGE. To look for up-to-date news on not very well-known matters; to try to discover new things about the world.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_5
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: EMOTION. To enjoy challenges or unknown situations; to look for adventure.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_6
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: POWER. To have the power to influence others and to control decisions; to be the boss of a team.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_7
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: AFFECTIVITY. To have a deep and enduring affectionate relationship; to have somebody to share successes and failures.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_8
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_9
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: HEALTH. To look after your health at all times, not just when sick; not to be sick.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_10
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PLEASURE. To live for the moment; to satisfy all your desires.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_11
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PRESTIGE. To know that a lot of people know and admire you; when you are older to receive a homage for your contributions.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_12
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: OBEDIENCE. To fulfill your daily duties and obligations; to respect your parents, superiors, or elders.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_13
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PERSONAL STABILITY. To have the certainty that tomorrow you will have all that you have today; to have an organized and planned life.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_14
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BELONGING. To have good neighborly relationships; to form part of a group (e.g., social, religious, sporting, etc.).

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_15
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BEAUTY. To be able to appreciate the best in art, music, and literature; to go to museums or exhibitions where you can see beautiful things.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_16
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: TRADITION. To follow the social norms of your country; to respect the traditions of your society.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_17
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SURVIVAL. To have water, food, and shelter every day in your life; to live in a place with enough food.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02_18
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: MATURITY. To feel that your purpose in life has been fulfilled; to develop all your capacities.

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_B02JLU_1
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing94
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean5.560788609
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.114380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.455056305
Coefficient of variation (CV)0.2616636609
Kurtosis-0.03364970873
Mean5.560788609
Median Absolute Deviation (MAD)1
Skewness-0.7510421646
Sum5077
Variance2.117188851
MonotonicityNot monotonic
2025-02-26T17:43:05.152195image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 351
34.9%
4 215
21.4%
6 164
16.3%
5 135
 
13.4%
3 19
 
1.9%
2 15
 
1.5%
1 14
 
1.4%
(Missing) 94
 
9.3%
ValueCountFrequency (%)
1 14
 
1.4%
2 15
 
1.5%
3 19
 
1.9%
4 215
21.4%
5 135
13.4%
ValueCountFrequency (%)
7 351
34.9%
6 164
16.3%
5 135
 
13.4%
4 215
21.4%
3 19
 
1.9%

w1_B02JLU_2
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing95
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean5.677631579
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.188285image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.411581267
Coefficient of variation (CV)0.2486214978
Kurtosis0.2970485315
Mean5.677631579
Median Absolute Deviation (MAD)1
Skewness-0.9347671692
Sum5178
Variance1.992561673
MonotonicityNot monotonic
2025-02-26T17:43:05.226590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 362
35.9%
6 195
19.4%
5 154
15.3%
4 135
 
13.4%
3 43
 
4.3%
2 12
 
1.2%
1 11
 
1.1%
(Missing) 95
 
9.4%
ValueCountFrequency (%)
1 11
 
1.1%
2 12
 
1.2%
3 43
 
4.3%
4 135
13.4%
5 154
15.3%
ValueCountFrequency (%)
7 362
35.9%
6 195
19.4%
5 154
15.3%
4 135
 
13.4%
3 43
 
4.3%

w1_B02JLU_3
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing99
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean3.834801762
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.263317image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.88571496
Coefficient of variation (CV)0.4917372726
Kurtosis-0.9384416773
Mean3.834801762
Median Absolute Deviation (MAD)1
Skewness0.02381097033
Sum3482
Variance3.555920909
MonotonicityNot monotonic
2025-02-26T17:43:05.299541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 274
27.2%
1 156
15.5%
5 104
 
10.3%
7 102
 
10.1%
2 93
 
9.2%
6 91
 
9.0%
3 88
 
8.7%
(Missing) 99
 
9.8%
ValueCountFrequency (%)
1 156
15.5%
2 93
 
9.2%
3 88
 
8.7%
4 274
27.2%
5 104
 
10.3%
ValueCountFrequency (%)
7 102
 
10.1%
6 91
 
9.0%
5 104
 
10.3%
4 274
27.2%
3 88
 
8.7%

w1_B02JLU_4
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing98
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean5.313531353
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.335665image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.475812165
Coefficient of variation (CV)0.2777460162
Kurtosis-0.2864368546
Mean5.313531353
Median Absolute Deviation (MAD)1
Skewness-0.5875869311
Sum4830
Variance2.178021547
MonotonicityNot monotonic
2025-02-26T17:43:05.371802image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 262
26.0%
4 197
19.6%
6 186
18.5%
5 176
17.5%
3 48
 
4.8%
2 28
 
2.8%
1 12
 
1.2%
(Missing) 98
 
9.7%
ValueCountFrequency (%)
1 12
 
1.2%
2 28
 
2.8%
3 48
 
4.8%
4 197
19.6%
5 176
17.5%
ValueCountFrequency (%)
7 262
26.0%
6 186
18.5%
5 176
17.5%
4 197
19.6%
3 48
 
4.8%

w1_B02JLU_5
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing100
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean4.934950386
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.407000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.605441242
Coefficient of variation (CV)0.3253206449
Kurtosis-0.5285848375
Mean4.934950386
Median Absolute Deviation (MAD)1
Skewness-0.4392350933
Sum4476
Variance2.577441581
MonotonicityNot monotonic
2025-02-26T17:43:05.443321image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 195
19.4%
4 195
19.4%
5 184
18.3%
6 170
16.9%
3 91
9.0%
2 46
 
4.6%
1 26
 
2.6%
(Missing) 100
9.9%
ValueCountFrequency (%)
1 26
 
2.6%
2 46
 
4.6%
3 91
9.0%
4 195
19.4%
5 184
18.3%
ValueCountFrequency (%)
7 195
19.4%
6 170
16.9%
5 184
18.3%
4 195
19.4%
3 91
9.0%

w1_B02JLU_6
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing97
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean4.61978022
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.478126image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.692032697
Coefficient of variation (CV)0.366258267
Kurtosis-0.7597517888
Mean4.61978022
Median Absolute Deviation (MAD)1
Skewness-0.2643481733
Sum4204
Variance2.862974649
MonotonicityNot monotonic
2025-02-26T17:43:05.578751image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 217
21.5%
6 158
15.7%
7 157
15.6%
5 152
15.1%
3 118
11.7%
2 67
 
6.7%
1 41
 
4.1%
(Missing) 97
9.6%
ValueCountFrequency (%)
1 41
 
4.1%
2 67
 
6.7%
3 118
11.7%
4 217
21.5%
5 152
15.1%
ValueCountFrequency (%)
7 157
15.6%
6 158
15.7%
5 152
15.1%
4 217
21.5%
3 118
11.7%

w1_B02JLU_7
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing99
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean5.768722467
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.613814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.395942979
Coefficient of variation (CV)0.2419847699
Kurtosis0.5243124727
Mean5.768722467
Median Absolute Deviation (MAD)1
Skewness-1.05470228
Sum5238
Variance1.948656801
MonotonicityNot monotonic
2025-02-26T17:43:05.649406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 388
38.5%
6 200
19.9%
5 136
 
13.5%
4 124
 
12.3%
3 35
 
3.5%
2 16
 
1.6%
1 9
 
0.9%
(Missing) 99
 
9.8%
ValueCountFrequency (%)
1 9
 
0.9%
2 16
 
1.6%
3 35
 
3.5%
4 124
12.3%
5 136
13.5%
ValueCountFrequency (%)
7 388
38.5%
6 200
19.9%
5 136
 
13.5%
4 124
 
12.3%
3 35
 
3.5%

w1_B02JLU_8
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing97
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean2.398901099
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.684929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.713917309
Coefficient of variation (CV)0.7144593455
Kurtosis0.3058166641
Mean2.398901099
Median Absolute Deviation (MAD)1
Skewness1.125121702
Sum2183
Variance2.937512542
MonotonicityNot monotonic
2025-02-26T17:43:05.720626image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 417
41.4%
2 167
16.6%
4 122
 
12.1%
3 89
 
8.8%
5 49
 
4.9%
7 36
 
3.6%
6 30
 
3.0%
(Missing) 97
 
9.6%
ValueCountFrequency (%)
1 417
41.4%
2 167
16.6%
3 89
 
8.8%
4 122
 
12.1%
5 49
 
4.9%
ValueCountFrequency (%)
7 36
 
3.6%
6 30
 
3.0%
5 49
4.9%
4 122
12.1%
3 89
8.8%

w1_B02JLU_9
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing98
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean5.611661166
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.756206image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.529416545
Coefficient of variation (CV)0.272542568
Kurtosis0.05121474974
Mean5.611661166
Median Absolute Deviation (MAD)1
Skewness-0.928471585
Sum5101
Variance2.339114969
MonotonicityNot monotonic
2025-02-26T17:43:05.793369image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 376
37.3%
6 175
17.4%
4 138
 
13.7%
5 129
 
12.8%
3 54
 
5.4%
2 23
 
2.3%
1 14
 
1.4%
(Missing) 98
 
9.7%
ValueCountFrequency (%)
1 14
 
1.4%
2 23
 
2.3%
3 54
 
5.4%
4 138
13.7%
5 129
12.8%
ValueCountFrequency (%)
7 376
37.3%
6 175
17.4%
5 129
 
12.8%
4 138
 
13.7%
3 54
 
5.4%

w1_B02JLU_10
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing97
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean4.87032967
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.829272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.675783284
Coefficient of variation (CV)0.3440800516
Kurtosis-0.7587882629
Mean4.87032967
Median Absolute Deviation (MAD)1
Skewness-0.3554023025
Sum4432
Variance2.808249616
MonotonicityNot monotonic
2025-02-26T17:43:05.865419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 213
21.2%
4 206
20.5%
5 169
16.8%
6 142
14.1%
3 84
 
8.3%
2 72
 
7.1%
1 24
 
2.4%
(Missing) 97
9.6%
ValueCountFrequency (%)
1 24
 
2.4%
2 72
 
7.1%
3 84
8.3%
4 206
20.5%
5 169
16.8%
ValueCountFrequency (%)
7 213
21.2%
6 142
14.1%
5 169
16.8%
4 206
20.5%
3 84
 
8.3%

w1_B02JLU_11
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing100
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean4.482910695
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.900021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.717487357
Coefficient of variation (CV)0.383118798
Kurtosis-0.7808479042
Mean4.482910695
Median Absolute Deviation (MAD)1
Skewness-0.1995393044
Sum4066
Variance2.949762821
MonotonicityNot monotonic
2025-02-26T17:43:05.936131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 222
22.0%
5 168
16.7%
7 147
14.6%
6 127
12.6%
3 109
10.8%
2 86
 
8.5%
1 48
 
4.8%
(Missing) 100
9.9%
ValueCountFrequency (%)
1 48
 
4.8%
2 86
 
8.5%
3 109
10.8%
4 222
22.0%
5 168
16.7%
ValueCountFrequency (%)
7 147
14.6%
6 127
12.6%
5 168
16.7%
4 222
22.0%
3 109
10.8%

w1_B02JLU_12
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing96
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean5.196487377
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:05.970850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.534163608
Coefficient of variation (CV)0.295230893
Kurtosis-0.1271431691
Mean5.196487377
Median Absolute Deviation (MAD)1
Skewness-0.6711307498
Sum4734
Variance2.353657978
MonotonicityNot monotonic
2025-02-26T17:43:06.006183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 225
22.3%
6 214
21.3%
4 186
18.5%
5 176
17.5%
3 52
 
5.2%
2 37
 
3.7%
1 21
 
2.1%
(Missing) 96
9.5%
ValueCountFrequency (%)
1 21
 
2.1%
2 37
 
3.7%
3 52
 
5.2%
4 186
18.5%
5 176
17.5%
ValueCountFrequency (%)
7 225
22.3%
6 214
21.3%
5 176
17.5%
4 186
18.5%
3 52
 
5.2%

w1_B02JLU_13
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing98
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean5.446644664
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.041616image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.425330268
Coefficient of variation (CV)0.2616896008
Kurtosis0.1661565025
Mean5.446644664
Median Absolute Deviation (MAD)1
Skewness-0.7771084637
Sum4951
Variance2.031566372
MonotonicityNot monotonic
2025-02-26T17:43:06.077633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 274
27.2%
6 210
20.9%
5 198
19.7%
4 148
14.7%
3 46
 
4.6%
2 20
 
2.0%
1 13
 
1.3%
(Missing) 98
 
9.7%
ValueCountFrequency (%)
1 13
 
1.3%
2 20
 
2.0%
3 46
 
4.6%
4 148
14.7%
5 198
19.7%
ValueCountFrequency (%)
7 274
27.2%
6 210
20.9%
5 198
19.7%
4 148
14.7%
3 46
 
4.6%

w1_B02JLU_14
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing97
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean5.465934066
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.113270image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.469321014
Coefficient of variation (CV)0.2688142587
Kurtosis0.3091229278
Mean5.465934066
Median Absolute Deviation (MAD)1
Skewness-0.8922651841
Sum4974
Variance2.158904242
MonotonicityNot monotonic
2025-02-26T17:43:06.149209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 282
28.0%
6 228
22.6%
5 176
17.5%
4 138
13.7%
3 44
 
4.4%
2 26
 
2.6%
1 16
 
1.6%
(Missing) 97
 
9.6%
ValueCountFrequency (%)
1 16
 
1.6%
2 26
 
2.6%
3 44
 
4.4%
4 138
13.7%
5 176
17.5%
ValueCountFrequency (%)
7 282
28.0%
6 228
22.6%
5 176
17.5%
4 138
13.7%
3 44
 
4.4%

w1_B02JLU_15
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing97
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean5.167032967
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.184130image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.572806237
Coefficient of variation (CV)0.30439253
Kurtosis-0.4328530473
Mean5.167032967
Median Absolute Deviation (MAD)1
Skewness-0.5681776105
Sum4702
Variance2.47371946
MonotonicityNot monotonic
2025-02-26T17:43:06.221340image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 241
23.9%
6 191
19.0%
4 186
18.5%
5 162
16.1%
3 74
 
7.3%
2 37
 
3.7%
1 19
 
1.9%
(Missing) 97
9.6%
ValueCountFrequency (%)
1 19
 
1.9%
2 37
 
3.7%
3 74
 
7.3%
4 186
18.5%
5 162
16.1%
ValueCountFrequency (%)
7 241
23.9%
6 191
19.0%
5 162
16.1%
4 186
18.5%
3 74
 
7.3%

w1_B02JLU_16
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing99
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean5.530837004
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.256807image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.497567511
Coefficient of variation (CV)0.2707668857
Kurtosis-0.04983028764
Mean5.530837004
Median Absolute Deviation (MAD)1
Skewness-0.8156500455
Sum5022
Variance2.24270845
MonotonicityNot monotonic
2025-02-26T17:43:06.295183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 339
33.7%
6 173
17.2%
5 161
16.0%
4 151
15.0%
3 46
 
4.6%
2 26
 
2.6%
1 12
 
1.2%
(Missing) 99
 
9.8%
ValueCountFrequency (%)
1 12
 
1.2%
2 26
 
2.6%
3 46
 
4.6%
4 151
15.0%
5 161
16.0%
ValueCountFrequency (%)
7 339
33.7%
6 173
17.2%
5 161
16.0%
4 151
15.0%
3 46
 
4.6%

w1_B02JLU_17
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing96
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean6.035126235
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.331140image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.285111686
Coefficient of variation (CV)0.2129386587
Kurtosis0.9992858395
Mean6.035126235
Median Absolute Deviation (MAD)0
Skewness-1.258046398
Sum5498
Variance1.651512044
MonotonicityNot monotonic
2025-02-26T17:43:06.367729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 495
49.2%
6 145
 
14.4%
5 136
 
13.5%
4 97
 
9.6%
3 24
 
2.4%
2 9
 
0.9%
1 5
 
0.5%
(Missing) 96
 
9.5%
ValueCountFrequency (%)
1 5
 
0.5%
2 9
 
0.9%
3 24
 
2.4%
4 97
9.6%
5 136
13.5%
ValueCountFrequency (%)
7 495
49.2%
6 145
 
14.4%
5 136
 
13.5%
4 97
 
9.6%
3 24
 
2.4%

w1_B02JLU_18
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.8%
Missing96
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean5.354555434
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.402771image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q14
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.540828447
Coefficient of variation (CV)0.2877602942
Kurtosis-0.1352042695
Mean5.354555434
Median Absolute Deviation (MAD)1
Skewness-0.7441048385
Sum4878
Variance2.374152302
MonotonicityNot monotonic
2025-02-26T17:43:06.438678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 282
28.0%
6 195
19.4%
5 174
17.3%
4 148
14.7%
3 66
 
6.6%
2 28
 
2.8%
1 18
 
1.8%
(Missing) 96
 
9.5%
ValueCountFrequency (%)
1 18
 
1.8%
2 28
 
2.8%
3 66
 
6.6%
4 148
14.7%
5 174
17.3%
ValueCountFrequency (%)
7 282
28.0%
6 195
19.4%
5 174
17.3%
4 148
14.7%
3 66
 
6.6%

w1_C01_1
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online live synchronous

Distinct11
Distinct (%)1.5%
Missing281
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean0.5702479339
Minimum0
Maximum40
Zeros556
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.478312image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.999281718
Coefficient of variation (CV)3.50598678
Kurtosis212.307252
Mean0.5702479339
Median Absolute Deviation (MAD)0
Skewness11.87612414
Sum414
Variance3.997127387
MonotonicityNot monotonic
2025-02-26T17:43:06.521088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 556
55.2%
1 95
 
9.4%
2 33
 
3.3%
5 11
 
1.1%
3 10
 
1.0%
4 9
 
0.9%
10 4
 
0.4%
6 3
 
0.3%
9 2
 
0.2%
8 2
 
0.2%
(Missing) 281
27.9%
ValueCountFrequency (%)
0 556
55.2%
1 95
 
9.4%
2 33
 
3.3%
3 10
 
1.0%
4 9
 
0.9%
ValueCountFrequency (%)
40 1
 
0.1%
10 4
0.4%
9 2
0.2%
8 2
0.2%
6 3
0.3%

w1_C01_2
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online recorded asynchronous

Distinct15
Distinct (%)2.0%
Missing265
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean1.324797844
Minimum0
Maximum40
Zeros408
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.564236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum40
Range40
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.542678548
Coefficient of variation (CV)1.919295506
Kurtosis80.63879065
Mean1.324797844
Median Absolute Deviation (MAD)0
Skewness6.651187066
Sum983
Variance6.465214197
MonotonicityNot monotonic
2025-02-26T17:43:06.607773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 408
40.5%
1 105
 
10.4%
2 78
 
7.7%
3 60
 
6.0%
4 37
 
3.7%
5 28
 
2.8%
6 13
 
1.3%
10 3
 
0.3%
20 2
 
0.2%
7 2
 
0.2%
Other values (5) 6
 
0.6%
(Missing) 265
26.3%
ValueCountFrequency (%)
0 408
40.5%
1 105
 
10.4%
2 78
 
7.7%
3 60
 
6.0%
4 37
 
3.7%
ValueCountFrequency (%)
40 1
 
0.1%
20 2
0.2%
15 1
 
0.1%
12 1
 
0.1%
10 3
0.3%

w1_C01_3
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Partly synchronously and partly asynchronously

Distinct12
Distinct (%)1.7%
Missing288
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean0.8150208623
Minimum0
Maximum76
Zeros504
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.648919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum76
Range76
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.452502579
Coefficient of variation (CV)4.236091049
Kurtosis336.5722465
Mean0.8150208623
Median Absolute Deviation (MAD)0
Skewness16.6532255
Sum586
Variance11.91977406
MonotonicityNot monotonic
2025-02-26T17:43:06.689746image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 504
50.0%
1 94
 
9.3%
2 59
 
5.9%
3 28
 
2.8%
4 15
 
1.5%
5 7
 
0.7%
6 4
 
0.4%
10 3
 
0.3%
7 2
 
0.2%
11 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 288
28.6%
ValueCountFrequency (%)
0 504
50.0%
1 94
 
9.3%
2 59
 
5.9%
3 28
 
2.8%
4 15
 
1.5%
ValueCountFrequency (%)
76 1
 
0.1%
40 1
 
0.1%
11 1
 
0.1%
10 3
0.3%
7 2
0.2%

w1_C01_4
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: In presence

Distinct24
Distinct (%)2.9%
Missing193
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean6.841523342
Minimum0
Maximum90
Zeros38
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.734356image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile12
Maximum90
Range90
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.763606977
Coefficient of variation (CV)0.6962786998
Kurtosis116.9951373
Mean6.841523342
Median Absolute Deviation (MAD)2
Skewness7.217108826
Sum5569
Variance22.69195143
MonotonicityNot monotonic
2025-02-26T17:43:06.776784image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 114
11.3%
7 89
8.8%
9 86
8.5%
8 86
8.5%
6 85
8.4%
10 82
8.1%
4 57
 
5.7%
1 41
 
4.1%
0 38
 
3.8%
3 34
 
3.4%
Other values (14) 102
10.1%
(Missing) 193
19.2%
ValueCountFrequency (%)
0 38
3.8%
1 41
4.1%
2 21
 
2.1%
3 34
3.4%
4 57
5.7%
ValueCountFrequency (%)
90 1
 
0.1%
40 1
 
0.1%
32 1
 
0.1%
20 2
0.2%
19 4
0.4%

w1_C02_1
Real number (ℝ)

Missing 

How often do you attend workshops or other academic activities? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing165
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean2.514251781
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.815459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.014947137
Coefficient of variation (CV)0.4036776049
Kurtosis-0.2349954384
Mean2.514251781
Median Absolute Deviation (MAD)1
Skewness0.4810332716
Sum2117
Variance1.030117692
MonotonicityNot monotonic
2025-02-26T17:43:06.856753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 341
33.9%
3 239
23.7%
1 121
 
12.0%
4 108
 
10.7%
5 33
 
3.3%
(Missing) 165
16.4%
ValueCountFrequency (%)
1 121
 
12.0%
2 341
33.9%
3 239
23.7%
4 108
 
10.7%
5 33
 
3.3%
ValueCountFrequency (%)
5 33
 
3.3%
4 108
 
10.7%
3 239
23.7%
2 341
33.9%
1 121
 
12.0%

w1_C02_2
Real number (ℝ)

Missing 

How often do you take notes in class? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing166
Missing (%)16.5%
Infinite0
Infinite (%)0.0%
Mean3.909631391
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.896959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.113302672
Coefficient of variation (CV)0.2847589864
Kurtosis-0.2293509554
Mean3.909631391
Median Absolute Deviation (MAD)1
Skewness-0.8069629755
Sum3288
Variance1.23944284
MonotonicityNot monotonic
2025-02-26T17:43:06.938460image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 322
32.0%
4 259
25.7%
3 148
14.7%
2 86
 
8.5%
1 26
 
2.6%
(Missing) 166
16.5%
ValueCountFrequency (%)
1 26
 
2.6%
2 86
 
8.5%
3 148
14.7%
4 259
25.7%
5 322
32.0%
ValueCountFrequency (%)
5 322
32.0%
4 259
25.7%
3 148
14.7%
2 86
 
8.5%
1 26
 
2.6%

w1_C02_3
Real number (ℝ)

Missing 

How often do you review and arrange notes at the end of the lecture? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing166
Missing (%)16.5%
Infinite0
Infinite (%)0.0%
Mean3.517241379
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:06.978293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.131791669
Coefficient of variation (CV)0.3217839058
Kurtosis-0.595210151
Mean3.517241379
Median Absolute Deviation (MAD)1
Skewness-0.405819177
Sum2958
Variance1.280952381
MonotonicityNot monotonic
2025-02-26T17:43:07.018947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 263
26.1%
3 233
23.1%
5 187
18.6%
2 114
11.3%
1 44
 
4.4%
(Missing) 166
16.5%
ValueCountFrequency (%)
1 44
 
4.4%
2 114
11.3%
3 233
23.1%
4 263
26.1%
5 187
18.6%
ValueCountFrequency (%)
5 187
18.6%
4 263
26.1%
3 233
23.1%
2 114
11.3%
1 44
 
4.4%

w1_C02_4
Real number (ℝ)

Missing 

How often do you audio record the lecture? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing166
Missing (%)16.5%
Infinite0
Infinite (%)0.0%
Mean1.972651605
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:07.058367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.172284596
Coefficient of variation (CV)0.5942684422
Kurtosis0.1649200676
Mean1.972651605
Median Absolute Deviation (MAD)1
Skewness1.057550182
Sum1659
Variance1.374251175
MonotonicityNot monotonic
2025-02-26T17:43:07.098574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 404
40.1%
2 200
19.9%
3 134
 
13.3%
4 62
 
6.2%
5 41
 
4.1%
(Missing) 166
16.5%
ValueCountFrequency (%)
1 404
40.1%
2 200
19.9%
3 134
 
13.3%
4 62
 
6.2%
5 41
 
4.1%
ValueCountFrequency (%)
5 41
 
4.1%
4 62
 
6.2%
3 134
 
13.3%
2 200
19.9%
1 404
40.1%

w1_C02_5
Real number (ℝ)

Missing 

How often do you study and review notes regularly during the class week? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing168
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean3.076281287
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:07.137620image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.185190033
Coefficient of variation (CV)0.3852671204
Kurtosis-0.8676967804
Mean3.076281287
Median Absolute Deviation (MAD)1
Skewness-0.03143351925
Sum2581
Variance1.404675415
MonotonicityNot monotonic
2025-02-26T17:43:07.177783image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 248
24.6%
4 202
20.1%
2 192
19.1%
5 112
11.1%
1 85
 
8.4%
(Missing) 168
16.7%
ValueCountFrequency (%)
1 85
 
8.4%
2 192
19.1%
3 248
24.6%
4 202
20.1%
5 112
11.1%
ValueCountFrequency (%)
5 112
11.1%
4 202
20.1%
3 248
24.6%
2 192
19.1%
1 85
 
8.4%

w1_C02_6
Real number (ℝ)

Missing 

How often do you schematize or summarize books or notes related to a course? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing165
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean3.394299287
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:07.218069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.125370932
Coefficient of variation (CV)0.3315473494
Kurtosis-0.6320879994
Mean3.394299287
Median Absolute Deviation (MAD)1
Skewness-0.3073419377
Sum2858
Variance1.266459734
MonotonicityNot monotonic
2025-02-26T17:43:07.259042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 258
25.6%
3 252
25.0%
5 152
15.1%
2 130
12.9%
1 50
 
5.0%
(Missing) 165
16.4%
ValueCountFrequency (%)
1 50
 
5.0%
2 130
12.9%
3 252
25.0%
4 258
25.6%
5 152
15.1%
ValueCountFrequency (%)
5 152
15.1%
4 258
25.6%
3 252
25.0%
2 130
12.9%
1 50
 
5.0%

w1_C02_7
Real number (ℝ)

Missing 

How often do you take part in the activities organized by the course? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing169
Missing (%)16.8%
Infinite0
Infinite (%)0.0%
Mean3.393794749
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:07.299460image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.07987329
Coefficient of variation (CV)0.3181905124
Kurtosis-0.5376865217
Mean3.393794749
Median Absolute Deviation (MAD)1
Skewness-0.3121867116
Sum2844
Variance1.166126323
MonotonicityNot monotonic
2025-02-26T17:43:07.340270image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 277
27.5%
3 257
25.5%
5 133
13.2%
2 129
12.8%
1 42
 
4.2%
(Missing) 169
16.8%
ValueCountFrequency (%)
1 42
 
4.2%
2 129
12.8%
3 257
25.5%
4 277
27.5%
5 133
13.2%
ValueCountFrequency (%)
5 133
13.2%
4 277
27.5%
3 257
25.5%
2 129
12.8%
1 42
 
4.2%

w1_C02_8
Real number (ℝ)

Missing 

How often do you use specialized websites (e.g., statistics, philosophy, physics…)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing166
Missing (%)16.5%
Infinite0
Infinite (%)0.0%
Mean3.020214031
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:07.379804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.274594409
Coefficient of variation (CV)0.4220212196
Kurtosis-1.007704007
Mean3.020214031
Median Absolute Deviation (MAD)1
Skewness0.003594552469
Sum2540
Variance1.624590907
MonotonicityNot monotonic
2025-02-26T17:43:07.420318image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 238
23.6%
2 178
17.7%
4 171
17.0%
5 133
13.2%
1 121
12.0%
(Missing) 166
16.5%
ValueCountFrequency (%)
1 121
12.0%
2 178
17.7%
3 238
23.6%
4 171
17.0%
5 133
13.2%
ValueCountFrequency (%)
5 133
13.2%
4 171
17.0%
3 238
23.6%
2 178
17.7%
1 121
12.0%

w1_C02_9
Real number (ℝ)

Missing 

How often do you use question & answer sites (e.g., Quora, Stack Overflow, Answers.com)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing168
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean4.112038141
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:07.459296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9948965327
Coefficient of variation (CV)0.2419473017
Kurtosis0.6293199479
Mean4.112038141
Median Absolute Deviation (MAD)1
Skewness-1.056735073
Sum3450
Variance0.9898191107
MonotonicityNot monotonic
2025-02-26T17:43:07.501373image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 371
36.8%
4 269
26.7%
3 139
 
13.8%
2 42
 
4.2%
1 18
 
1.8%
(Missing) 168
16.7%
ValueCountFrequency (%)
1 18
 
1.8%
2 42
 
4.2%
3 139
 
13.8%
4 269
26.7%
5 371
36.8%
ValueCountFrequency (%)
5 371
36.8%
4 269
26.7%
3 139
 
13.8%
2 42
 
4.2%
1 18
 
1.8%

w1_C02_10
Real number (ℝ)

Missing 

How often do you use university websites/platform tools for learning (e.g., Moodle, etc.)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing167
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean3.657142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:07.541692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.213382443
Coefficient of variation (CV)0.3317842617
Kurtosis-0.6091321057
Mean3.657142857
Median Absolute Deviation (MAD)1
Skewness-0.5922640785
Sum3072
Variance1.472296952
MonotonicityNot monotonic
2025-02-26T17:43:07.582535image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 260
25.8%
4 241
23.9%
3 184
18.3%
2 101
 
10.0%
1 54
 
5.4%
(Missing) 167
16.6%
ValueCountFrequency (%)
1 54
 
5.4%
2 101
 
10.0%
3 184
18.3%
4 241
23.9%
5 260
25.8%
ValueCountFrequency (%)
5 260
25.8%
4 241
23.9%
3 184
18.3%
2 101
 
10.0%
1 54
 
5.4%

w1_C02_11
Real number (ℝ)

Missing 

How often do you use commercial education platforms (e.g., Coursera, Udemy, Datacamp)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing167
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.720238095
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:07.622059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.270953558
Coefficient of variation (CV)0.4672214393
Kurtosis-0.9319430289
Mean2.720238095
Median Absolute Deviation (MAD)1
Skewness0.284479305
Sum2285
Variance1.615322947
MonotonicityNot monotonic
2025-02-26T17:43:07.661615image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 224
22.2%
3 217
21.5%
1 169
16.8%
4 133
13.2%
5 97
9.6%
(Missing) 167
16.6%
ValueCountFrequency (%)
1 169
16.8%
2 224
22.2%
3 217
21.5%
4 133
13.2%
5 97
9.6%
ValueCountFrequency (%)
5 97
9.6%
4 133
13.2%
3 217
21.5%
2 224
22.2%
1 169
16.8%

w1_C02_12
Unsupported

Missing  Rejected  Unsupported 

How often do you use virtual labs and Amrita University Management Systems? (1 “never” – 6 “very often”)

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_D01
Real number (ℝ)

Missing  Skewed  Zeros 

About how many university students can you contact for help in studying?

Distinct40
Distinct (%)4.8%
Missing170
Missing (%)16.9%
Infinite0
Infinite (%)0.0%
Mean-1.101956038 × 1016
Minimum-9.223372037 × 1018
Maximum1500
Zeros11
Zeros (%)1.1%
Negative1
Negative (%)0.1%
Memory size9.0 KiB
2025-02-26T17:43:07.708854image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-9.223372037 × 1018
5-th percentile2
Q14
median6
Q310
95-th percentile29.2
Maximum1500
Range-9.223372037 × 1018
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.188063755 × 1017
Coefficient of variation (CV)-28.93095228
Kurtosis837
Mean-1.101956038 × 1016
Median Absolute Deviation (MAD)3
Skewness-28.93095228
Sum-9.223372037 × 1018
Variance1.016375051 × 1035
MonotonicityNot monotonic
2025-02-26T17:43:07.756618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
5 193
19.2%
10 145
14.4%
3 86
8.5%
4 68
 
6.8%
6 60
 
6.0%
8 40
 
4.0%
2 38
 
3.8%
20 37
 
3.7%
7 27
 
2.7%
9 20
 
2.0%
Other values (30) 123
12.2%
(Missing) 170
16.9%
ValueCountFrequency (%)
-9223372036854775808 1
 
0.1%
0 11
 
1.1%
1 19
 
1.9%
2 38
3.8%
3 86
8.5%
ValueCountFrequency (%)
1500 1
 
0.1%
100 10
1.0%
88 1
 
0.1%
80 1
 
0.1%
79 1
 
0.1%

w1_D02
Real number (ℝ)

Missing 

Are you in an informal study group(s) (beside the one you are in for the lab/class project)? 1) Yes 2) No [go to E01]

Distinct2
Distinct (%)0.2%
Missing145
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean1.798143852
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:07.863661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4016184305
Coefficient of variation (CV)0.2233516691
Kurtosis0.2151282754
Mean1.798143852
Median Absolute Deviation (MAD)0
Skewness-1.488164818
Sum1550
Variance0.1612973637
MonotonicityNot monotonic
2025-02-26T17:43:07.901971image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 688
68.3%
1 174
 
17.3%
(Missing) 145
 
14.4%
ValueCountFrequency (%)
1 174
 
17.3%
2 688
68.3%
ValueCountFrequency (%)
2 688
68.3%
1 174
 
17.3%

w1_D03
Real number (ℝ)

Missing 

How many informal study groups do you participate in?

Distinct8
Distinct (%)4.7%
Missing837
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean1.847058824
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:07.939850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum11
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.515254835
Coefficient of variation (CV)0.820360898
Kurtosis19.40972848
Mean1.847058824
Median Absolute Deviation (MAD)0
Skewness3.897584605
Sum314
Variance2.295997215
MonotonicityNot monotonic
2025-02-26T17:43:07.977145image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 90
 
8.9%
2 51
 
5.1%
3 19
 
1.9%
4 4
 
0.4%
6 2
 
0.2%
11 2
 
0.2%
10 1
 
0.1%
5 1
 
0.1%
(Missing) 837
83.1%
ValueCountFrequency (%)
1 90
8.9%
2 51
5.1%
3 19
 
1.9%
4 4
 
0.4%
5 1
 
0.1%
ValueCountFrequency (%)
11 2
0.2%
10 1
 
0.1%
6 2
0.2%
5 1
 
0.1%
4 4
0.4%

w1_D04
Real number (ℝ)

Missing 

About how many people are in the informal study group? If you have more than one, think about the one you meet most often

Distinct29
Distinct (%)17.8%
Missing844
Missing (%)83.8%
Infinite0
Infinite (%)0.0%
Mean16.79754601
Minimum1
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.017075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile59
Maximum600
Range599
Interquartile range (IQR)3

Descriptive statistics

Standard deviation57.28703552
Coefficient of variation (CV)3.410440756
Kurtosis70.97860954
Mean16.79754601
Median Absolute Deviation (MAD)2
Skewness7.798898885
Sum2738
Variance3281.804438
MonotonicityNot monotonic
2025-02-26T17:43:08.062011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4 31
 
3.1%
5 29
 
2.9%
3 25
 
2.5%
6 15
 
1.5%
2 11
 
1.1%
7 8
 
0.8%
10 7
 
0.7%
20 5
 
0.5%
8 4
 
0.4%
1 4
 
0.4%
Other values (19) 24
 
2.4%
(Missing) 844
83.8%
ValueCountFrequency (%)
1 4
 
0.4%
2 11
 
1.1%
3 25
2.5%
4 31
3.1%
5 29
2.9%
ValueCountFrequency (%)
600 1
0.1%
300 1
0.1%
200 2
0.2%
100 1
0.1%
88 1
0.1%

w1_D05
Real number (ℝ)

Missing 

How often do you meet? If you meet more than one, think about the one you meet most often.1. Less than once a week2. Once a week3. Twice a week 4. Three days a week 5. Four days a week6. Five or more days a week

Distinct6
Distinct (%)3.5%
Missing837
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean2.735294118
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.103262image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.687209515
Coefficient of variation (CV)0.6168292852
Kurtosis-0.5786409621
Mean2.735294118
Median Absolute Deviation (MAD)1
Skewness0.7981000383
Sum465
Variance2.846675948
MonotonicityNot monotonic
2025-02-26T17:43:08.140913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 50
 
5.0%
1 48
 
4.8%
6 23
 
2.3%
3 23
 
2.3%
4 20
 
2.0%
5 6
 
0.6%
(Missing) 837
83.1%
ValueCountFrequency (%)
1 48
4.8%
2 50
5.0%
3 23
2.3%
4 20
 
2.0%
5 6
 
0.6%
ValueCountFrequency (%)
6 23
2.3%
5 6
 
0.6%
4 20
 
2.0%
3 23
2.3%
2 50
5.0%

w1_E01_1
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Twitter - Weibo

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_2
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_3
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : LinkedIn

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_4
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : YouTube

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_5
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Instagram

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_6
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Telegram

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_7
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Pinterest

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_8
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Reddit

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_9
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Flickr

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_10
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook messenger

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_11
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WhatsApp

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_12
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Google hangouts

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_13
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Skype

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_14
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Zoom

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_15
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Snapchat

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_16
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Tinder

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_17
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WeChat

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_18
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Viber

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01_19
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : TikTok

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_E01JLU_1
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Weibo(微博)

Distinct6
Distinct (%)0.7%
Missing133
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean3.372997712
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.178517image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.812013729
Coefficient of variation (CV)0.5372116685
Kurtosis-1.469634242
Mean3.372997712
Median Absolute Deviation (MAD)2
Skewness0.2283176841
Sum2948
Variance3.283393753
MonotonicityNot monotonic
2025-02-26T17:43:08.216304image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 263
26.1%
6 169
16.8%
5 147
14.6%
1 138
13.7%
3 93
 
9.2%
4 64
 
6.4%
(Missing) 133
13.2%
ValueCountFrequency (%)
1 138
13.7%
2 263
26.1%
3 93
 
9.2%
4 64
 
6.4%
5 147
14.6%
ValueCountFrequency (%)
6 169
16.8%
5 147
14.6%
4 64
 
6.4%
3 93
 
9.2%
2 263
26.1%

w1_E01JLU_2
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: LinkedIn

Distinct6
Distinct (%)0.7%
Missing142
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean2.588439306
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.258276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.253465539
Coefficient of variation (CV)0.8705885178
Kurtosis-1.349915657
Mean2.588439306
Median Absolute Deviation (MAD)0
Skewness0.7704081669
Sum2239
Variance5.078106936
MonotonicityNot monotonic
2025-02-26T17:43:08.298265image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 565
56.1%
6 236
23.4%
5 34
 
3.4%
3 16
 
1.6%
2 8
 
0.8%
4 6
 
0.6%
(Missing) 142
 
14.1%
ValueCountFrequency (%)
1 565
56.1%
2 8
 
0.8%
3 16
 
1.6%
4 6
 
0.6%
5 34
 
3.4%
ValueCountFrequency (%)
6 236
23.4%
5 34
 
3.4%
4 6
 
0.6%
3 16
 
1.6%
2 8
 
0.8%

w1_E01JLU_3
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Bilibili

Distinct6
Distinct (%)0.7%
Missing132
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean3.278857143
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.335642image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.406896571
Coefficient of variation (CV)0.429081387
Kurtosis-1.104406946
Mean3.278857143
Median Absolute Deviation (MAD)1
Skewness0.314536478
Sum2869
Variance1.97935796
MonotonicityNot monotonic
2025-02-26T17:43:08.375024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 310
30.8%
5 170
16.9%
4 152
15.1%
3 144
14.3%
6 52
 
5.2%
1 47
 
4.7%
(Missing) 132
13.1%
ValueCountFrequency (%)
1 47
 
4.7%
2 310
30.8%
3 144
14.3%
4 152
15.1%
5 170
16.9%
ValueCountFrequency (%)
6 52
 
5.2%
5 170
16.9%
4 152
15.1%
3 144
14.3%
2 310
30.8%

w1_E01JLU_4
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Acfun

Distinct6
Distinct (%)0.7%
Missing133
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean2.868421053
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.411742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.250077871
Coefficient of variation (CV)0.7844308174
Kurtosis-1.657241088
Mean2.868421053
Median Absolute Deviation (MAD)0
Skewness0.4770749115
Sum2507
Variance5.062850425
MonotonicityNot monotonic
2025-02-26T17:43:08.450398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 493
49.0%
6 232
23.0%
5 82
 
8.1%
4 29
 
2.9%
3 20
 
2.0%
2 18
 
1.8%
(Missing) 133
 
13.2%
ValueCountFrequency (%)
1 493
49.0%
2 18
 
1.8%
3 20
 
2.0%
4 29
 
2.9%
5 82
 
8.1%
ValueCountFrequency (%)
6 232
23.0%
5 82
 
8.1%
4 29
 
2.9%
3 20
 
2.0%
2 18
 
1.8%

w1_E01JLU_5
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: lvzhou(绿洲)

Distinct6
Distinct (%)0.7%
Missing137
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean2.811494253
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.486802image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.283952386
Coefficient of variation (CV)0.8123624594
Kurtosis-1.62136299
Mean2.811494253
Median Absolute Deviation (MAD)0
Skewness0.5447832291
Sum2446
Variance5.216438501
MonotonicityNot monotonic
2025-02-26T17:43:08.524747image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 516
51.2%
6 248
24.6%
5 61
 
6.1%
3 21
 
2.1%
4 13
 
1.3%
2 11
 
1.1%
(Missing) 137
 
13.6%
ValueCountFrequency (%)
1 516
51.2%
2 11
 
1.1%
3 21
 
2.1%
4 13
 
1.3%
5 61
 
6.1%
ValueCountFrequency (%)
6 248
24.6%
5 61
 
6.1%
4 13
 
1.3%
3 21
 
2.1%
2 11
 
1.1%

w1_E01JLU_6
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Telegram

Distinct6
Distinct (%)0.7%
Missing138
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean2.486766398
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.561715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.201564644
Coefficient of variation (CV)0.8853122053
Kurtosis-1.174060082
Mean2.486766398
Median Absolute Deviation (MAD)0
Skewness0.871903045
Sum2161
Variance4.846886882
MonotonicityNot monotonic
2025-02-26T17:43:08.600010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 581
57.7%
6 215
 
21.4%
5 39
 
3.9%
2 14
 
1.4%
3 13
 
1.3%
4 7
 
0.7%
(Missing) 138
 
13.7%
ValueCountFrequency (%)
1 581
57.7%
2 14
 
1.4%
3 13
 
1.3%
4 7
 
0.7%
5 39
 
3.9%
ValueCountFrequency (%)
6 215
21.4%
5 39
 
3.9%
4 7
 
0.7%
3 13
 
1.3%
2 14
 
1.4%

w1_E01JLU_7
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Pinterest

Distinct6
Distinct (%)0.7%
Missing136
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean2.423650976
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.637338image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.184236311
Coefficient of variation (CV)0.9012173507
Kurtosis-1.057208997
Mean2.423650976
Median Absolute Deviation (MAD)0
Skewness0.9387776315
Sum2111
Variance4.770888264
MonotonicityNot monotonic
2025-02-26T17:43:08.675769image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 600
59.6%
6 211
 
21.0%
5 31
 
3.1%
3 12
 
1.2%
4 10
 
1.0%
2 7
 
0.7%
(Missing) 136
 
13.5%
ValueCountFrequency (%)
1 600
59.6%
2 7
 
0.7%
3 12
 
1.2%
4 10
 
1.0%
5 31
 
3.1%
ValueCountFrequency (%)
6 211
21.0%
5 31
 
3.1%
4 10
 
1.0%
3 12
 
1.2%
2 7
 
0.7%

w1_E01JLU_8
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Huaban(花瓣)

Distinct6
Distinct (%)0.7%
Missing137
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean2.468965517
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.713227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.214260214
Coefficient of variation (CV)0.8968372376
Kurtosis-1.153791136
Mean2.468965517
Median Absolute Deviation (MAD)0
Skewness0.8911484283
Sum2148
Variance4.902948296
MonotonicityNot monotonic
2025-02-26T17:43:08.752593image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 595
59.1%
6 222
 
22.0%
5 29
 
2.9%
3 12
 
1.2%
4 8
 
0.8%
2 4
 
0.4%
(Missing) 137
 
13.6%
ValueCountFrequency (%)
1 595
59.1%
2 4
 
0.4%
3 12
 
1.2%
4 8
 
0.8%
5 29
 
2.9%
ValueCountFrequency (%)
6 222
22.0%
5 29
 
2.9%
4 8
 
0.8%
3 12
 
1.2%
2 4
 
0.4%

w1_E01JLU_9
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Xiaohongshu(小红书)

Distinct6
Distinct (%)0.7%
Missing134
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean3.365406644
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.789487image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.108424365
Coefficient of variation (CV)0.6264991391
Kurtosis-1.727638016
Mean3.365406644
Median Absolute Deviation (MAD)2
Skewness0.02342045726
Sum2938
Variance4.445453303
MonotonicityNot monotonic
2025-02-26T17:43:08.828655image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 326
32.4%
6 217
21.5%
5 152
15.1%
4 72
 
7.1%
2 56
 
5.6%
3 50
 
5.0%
(Missing) 134
13.3%
ValueCountFrequency (%)
1 326
32.4%
2 56
 
5.6%
3 50
 
5.0%
4 72
 
7.1%
5 152
15.1%
ValueCountFrequency (%)
6 217
21.5%
5 152
15.1%
4 72
 
7.1%
3 50
 
5.0%
2 56
 
5.6%

w1_E01JLU_10
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Reddit

Distinct6
Distinct (%)0.7%
Missing136
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean2.489092997
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.865171image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.207522766
Coefficient of variation (CV)0.8868783806
Kurtosis-1.174116123
Mean2.489092997
Median Absolute Deviation (MAD)0
Skewness0.87081579
Sum2168
Variance4.873156763
MonotonicityNot monotonic
2025-02-26T17:43:08.904181image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 586
58.2%
6 221
 
21.9%
5 29
 
2.9%
3 17
 
1.7%
4 12
 
1.2%
2 6
 
0.6%
(Missing) 136
 
13.5%
ValueCountFrequency (%)
1 586
58.2%
2 6
 
0.6%
3 17
 
1.7%
4 12
 
1.2%
5 29
 
2.9%
ValueCountFrequency (%)
6 221
21.9%
5 29
 
2.9%
4 12
 
1.2%
3 17
 
1.7%
2 6
 
0.6%

w1_E01JLU_11
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Tieba(贴吧)

Distinct6
Distinct (%)0.7%
Missing134
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean3.973654066
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:08.940663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.881950129
Coefficient of variation (CV)0.4736069365
Kurtosis-1.286828638
Mean3.973654066
Median Absolute Deviation (MAD)1
Skewness-0.4926606817
Sum3469
Variance3.541736288
MonotonicityNot monotonic
2025-02-26T17:43:08.978453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 240
23.8%
5 228
22.6%
1 168
16.7%
4 91
 
9.0%
2 81
 
8.0%
3 65
 
6.5%
(Missing) 134
13.3%
ValueCountFrequency (%)
1 168
16.7%
2 81
 
8.0%
3 65
 
6.5%
4 91
 
9.0%
5 228
22.6%
ValueCountFrequency (%)
6 240
23.8%
5 228
22.6%
4 91
 
9.0%
3 65
 
6.5%
2 81
 
8.0%

w1_E01JLU_12
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Douban(豆瓣小组)

Distinct6
Distinct (%)0.7%
Missing135
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean3.097477064
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.015522image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.223120977
Coefficient of variation (CV)0.7177199154
Kurtosis-1.767563783
Mean3.097477064
Median Absolute Deviation (MAD)1
Skewness0.2665869764
Sum2701
Variance4.942266877
MonotonicityNot monotonic
2025-02-26T17:43:09.052771image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 424
42.1%
6 232
23.0%
5 116
 
11.5%
4 35
 
3.5%
3 35
 
3.5%
2 30
 
3.0%
(Missing) 135
 
13.4%
ValueCountFrequency (%)
1 424
42.1%
2 30
 
3.0%
3 35
 
3.5%
4 35
 
3.5%
5 116
 
11.5%
ValueCountFrequency (%)
6 232
23.0%
5 116
11.5%
4 35
 
3.5%
3 35
 
3.5%
2 30
 
3.0%

w1_E01JLU_13
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Skype

Distinct6
Distinct (%)0.7%
Missing135
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean2.610091743
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.089187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.249998391
Coefficient of variation (CV)0.8620380478
Kurtosis-1.381551815
Mean2.610091743
Median Absolute Deviation (MAD)0
Skewness0.7435007103
Sum2276
Variance5.062492759
MonotonicityNot monotonic
2025-02-26T17:43:09.126925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 563
55.9%
6 235
23.3%
5 38
 
3.8%
4 14
 
1.4%
3 13
 
1.3%
2 9
 
0.9%
(Missing) 135
 
13.4%
ValueCountFrequency (%)
1 563
55.9%
2 9
 
0.9%
3 13
 
1.3%
4 14
 
1.4%
5 38
 
3.8%
ValueCountFrequency (%)
6 235
23.3%
5 38
 
3.8%
4 14
 
1.4%
3 13
 
1.3%
2 9
 
0.9%

w1_E01JLU_14
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Zoom

Distinct6
Distinct (%)0.7%
Missing137
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean2.808045977
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.162950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.266213461
Coefficient of variation (CV)0.8070428616
Kurtosis-1.628900534
Mean2.808045977
Median Absolute Deviation (MAD)0
Skewness0.5301095157
Sum2443
Variance5.13572345
MonotonicityNot monotonic
2025-02-26T17:43:09.201609image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 516
51.2%
6 232
23.0%
5 78
 
7.7%
4 22
 
2.2%
3 13
 
1.3%
2 9
 
0.9%
(Missing) 137
 
13.6%
ValueCountFrequency (%)
1 516
51.2%
2 9
 
0.9%
3 13
 
1.3%
4 22
 
2.2%
5 78
 
7.7%
ValueCountFrequency (%)
6 232
23.0%
5 78
 
7.7%
4 22
 
2.2%
3 13
 
1.3%
2 9
 
0.9%

w1_E01JLU_15
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Tencent Meeting(腾讯会议)

Distinct6
Distinct (%)0.7%
Missing135
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean4.524082569
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.238212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.518917928
Coefficient of variation (CV)0.3357405407
Kurtosis0.5920882286
Mean4.524082569
Median Absolute Deviation (MAD)1
Skewness-1.265556387
Sum3945
Variance2.307111672
MonotonicityNot monotonic
2025-02-26T17:43:09.276933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 383
38.0%
6 223
22.1%
4 102
 
10.1%
1 93
 
9.2%
3 49
 
4.9%
2 22
 
2.2%
(Missing) 135
 
13.4%
ValueCountFrequency (%)
1 93
 
9.2%
2 22
 
2.2%
3 49
 
4.9%
4 102
 
10.1%
5 383
38.0%
ValueCountFrequency (%)
6 223
22.1%
5 383
38.0%
4 102
 
10.1%
3 49
 
4.9%
2 22
 
2.2%

w1_E01JLU_16
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: DingDing(钉钉)

Distinct6
Distinct (%)0.7%
Missing138
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean4.313003452
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.312998image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.831264282
Coefficient of variation (CV)0.4245914251
Kurtosis-0.6751024891
Mean4.313003452
Median Absolute Deviation (MAD)1
Skewness-0.9123190983
Sum3748
Variance3.353528872
MonotonicityNot monotonic
2025-02-26T17:43:09.351817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 290
28.8%
6 278
27.6%
1 162
16.1%
4 75
 
7.4%
3 40
 
4.0%
2 24
 
2.4%
(Missing) 138
13.7%
ValueCountFrequency (%)
1 162
16.1%
2 24
 
2.4%
3 40
 
4.0%
4 75
 
7.4%
5 290
28.8%
ValueCountFrequency (%)
6 278
27.6%
5 290
28.8%
4 75
 
7.4%
3 40
 
4.0%
2 24
 
2.4%

w1_E01JLU_17
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Tinder

Distinct6
Distinct (%)0.7%
Missing141
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean2.490762125
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.389348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.222435808
Coefficient of variation (CV)0.8922714
Kurtosis-1.191424227
Mean2.490762125
Median Absolute Deviation (MAD)0
Skewness0.8692257698
Sum2157
Variance4.939220921
MonotonicityNot monotonic
2025-02-26T17:43:09.427656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 587
58.3%
6 225
 
22.3%
5 26
 
2.6%
4 13
 
1.3%
3 8
 
0.8%
2 7
 
0.7%
(Missing) 141
 
14.0%
ValueCountFrequency (%)
1 587
58.3%
2 7
 
0.7%
3 8
 
0.8%
4 13
 
1.3%
5 26
 
2.6%
ValueCountFrequency (%)
6 225
22.3%
5 26
 
2.6%
4 13
 
1.3%
3 8
 
0.8%
2 7
 
0.7%

w1_E01JLU_18
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Tantan(探探)

Distinct6
Distinct (%)0.7%
Missing138
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean2.501726122
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.464898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.236904391
Coefficient of variation (CV)0.8941443957
Kurtosis-1.220457259
Mean2.501726122
Median Absolute Deviation (MAD)0
Skewness0.8571984696
Sum2174
Variance5.003741257
MonotonicityNot monotonic
2025-02-26T17:43:09.503463image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 592
58.8%
6 231
 
22.9%
5 25
 
2.5%
4 10
 
1.0%
3 9
 
0.9%
2 2
 
0.2%
(Missing) 138
 
13.7%
ValueCountFrequency (%)
1 592
58.8%
2 2
 
0.2%
3 9
 
0.9%
4 10
 
1.0%
5 25
 
2.5%
ValueCountFrequency (%)
6 231
22.9%
5 25
 
2.5%
4 10
 
1.0%
3 9
 
0.9%
2 2
 
0.2%

w1_E01JLU_19
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Momo(陌陌)

Distinct6
Distinct (%)0.7%
Missing145
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean2.452436195
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.539955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.212715309
Coefficient of variation (CV)0.9022519379
Kurtosis-1.123110631
Mean2.452436195
Median Absolute Deviation (MAD)0
Skewness0.9097583623
Sum2114
Variance4.896109041
MonotonicityNot monotonic
2025-02-26T17:43:09.579217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 595
59.1%
6 221
 
21.9%
5 23
 
2.3%
4 11
 
1.1%
3 10
 
1.0%
2 2
 
0.2%
(Missing) 145
 
14.4%
ValueCountFrequency (%)
1 595
59.1%
2 2
 
0.2%
3 10
 
1.0%
4 11
 
1.1%
5 23
 
2.3%
ValueCountFrequency (%)
6 221
21.9%
5 23
 
2.3%
4 11
 
1.1%
3 10
 
1.0%
2 2
 
0.2%

w1_E01JLU_20
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: WeChat(微信)

Distinct6
Distinct (%)0.7%
Missing135
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean2.217889908
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.615815image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9019693452
Coefficient of variation (CV)0.4066790429
Kurtosis7.726426959
Mean2.217889908
Median Absolute Deviation (MAD)0
Skewness2.596621389
Sum1934
Variance0.8135486997
MonotonicityNot monotonic
2025-02-26T17:43:09.655410image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 678
67.3%
1 66
 
6.6%
3 63
 
6.3%
4 25
 
2.5%
6 23
 
2.3%
5 17
 
1.7%
(Missing) 135
 
13.4%
ValueCountFrequency (%)
1 66
 
6.6%
2 678
67.3%
3 63
 
6.3%
4 25
 
2.5%
5 17
 
1.7%
ValueCountFrequency (%)
6 23
 
2.3%
5 17
 
1.7%
4 25
 
2.5%
3 63
 
6.3%
2 678
67.3%

w1_E01JLU_21
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: QQ

Distinct6
Distinct (%)0.7%
Missing135
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean2.355504587
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.692580image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.038740725
Coefficient of variation (CV)0.4409843779
Kurtosis4.081073486
Mean2.355504587
Median Absolute Deviation (MAD)0
Skewness2.051945094
Sum2054
Variance1.078982294
MonotonicityNot monotonic
2025-02-26T17:43:09.731567image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 627
62.3%
3 85
 
8.4%
1 62
 
6.2%
5 35
 
3.5%
4 35
 
3.5%
6 28
 
2.8%
(Missing) 135
 
13.4%
ValueCountFrequency (%)
1 62
 
6.2%
2 627
62.3%
3 85
 
8.4%
4 35
 
3.5%
5 35
 
3.5%
ValueCountFrequency (%)
6 28
 
2.8%
5 35
 
3.5%
4 35
 
3.5%
3 85
 
8.4%
2 627
62.3%

w1_E01JLU_22
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: TikTok(抖音)

Distinct6
Distinct (%)0.7%
Missing137
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean3.226436782
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.769569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.099479895
Coefficient of variation (CV)0.6507116167
Kurtosis-1.657082946
Mean3.226436782
Median Absolute Deviation (MAD)1
Skewness0.2486337662
Sum2807
Variance4.407815827
MonotonicityNot monotonic
2025-02-26T17:43:09.808181image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 302
30.0%
6 239
23.7%
2 135
13.4%
5 81
 
8.0%
4 57
 
5.7%
3 56
 
5.6%
(Missing) 137
13.6%
ValueCountFrequency (%)
1 302
30.0%
2 135
13.4%
3 56
 
5.6%
4 57
 
5.7%
5 81
 
8.0%
ValueCountFrequency (%)
6 239
23.7%
5 81
 
8.0%
4 57
 
5.7%
3 56
 
5.6%
2 135
13.4%

w1_E01JLU_23
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Kuaishou(快手)

Distinct6
Distinct (%)0.7%
Missing138
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean3.035673188
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.845798image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.316016695
Coefficient of variation (CV)0.7629334753
Kurtosis-1.772529301
Mean3.035673188
Median Absolute Deviation (MAD)0
Skewness0.3648052858
Sum2638
Variance5.363933331
MonotonicityNot monotonic
2025-02-26T17:43:09.883136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 459
45.6%
6 285
28.3%
5 51
 
5.1%
2 30
 
3.0%
4 22
 
2.2%
3 22
 
2.2%
(Missing) 138
 
13.7%
ValueCountFrequency (%)
1 459
45.6%
2 30
 
3.0%
3 22
 
2.2%
4 22
 
2.2%
5 51
 
5.1%
ValueCountFrequency (%)
6 285
28.3%
5 51
 
5.1%
4 22
 
2.2%
3 22
 
2.2%
2 30
 
3.0%

w1_E01JLU_24
Real number (ℝ)

Missing 

How often do use the following social networking channels? | Answer: Huoshan (火山小视频)

Distinct6
Distinct (%)0.7%
Missing137
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean2.732183908
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:09.919607image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.312372001
Coefficient of variation (CV)0.8463456629
Kurtosis-1.551257491
Mean2.732183908
Median Absolute Deviation (MAD)0
Skewness0.6331190499
Sum2377
Variance5.34706427
MonotonicityNot monotonic
2025-02-26T17:43:10.025459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 546
54.2%
6 266
26.4%
5 27
 
2.7%
4 15
 
1.5%
2 8
 
0.8%
3 8
 
0.8%
(Missing) 137
 
13.6%
ValueCountFrequency (%)
1 546
54.2%
2 8
 
0.8%
3 8
 
0.8%
4 15
 
1.5%
5 27
 
2.7%
ValueCountFrequency (%)
6 266
26.4%
5 27
 
2.7%
4 15
 
1.5%
3 8
 
0.8%
2 8
 
0.8%

w1_E02_1
Real number (ℝ)

Missing 

Do you use social networking sites to solve an academic problem? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing172
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean2.401197605
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:10.061597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9346762365
Coefficient of variation (CV)0.3892541933
Kurtosis-0.5711676389
Mean2.401197605
Median Absolute Deviation (MAD)1
Skewness0.165067356
Sum2005
Variance0.8736196671
MonotonicityNot monotonic
2025-02-26T17:43:10.102826image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 298
29.6%
3 287
28.5%
1 153
15.2%
4 90
 
8.9%
5 7
 
0.7%
(Missing) 172
17.1%
ValueCountFrequency (%)
1 153
15.2%
2 298
29.6%
3 287
28.5%
4 90
 
8.9%
5 7
 
0.7%
ValueCountFrequency (%)
5 7
 
0.7%
4 90
 
8.9%
3 287
28.5%
2 298
29.6%
1 153
15.2%

w1_E02_2
Real number (ℝ)

Missing 

Do you use social networking sites to do research work? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing174
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean2.87394958
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:10.142553image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.07627647
Coefficient of variation (CV)0.3744938596
Kurtosis-0.7230598207
Mean2.87394958
Median Absolute Deviation (MAD)1
Skewness-0.1709365106
Sum2394
Variance1.158371041
MonotonicityNot monotonic
2025-02-26T17:43:10.183814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 291
28.9%
4 219
21.7%
2 178
17.7%
1 109
 
10.8%
5 36
 
3.6%
(Missing) 174
17.3%
ValueCountFrequency (%)
1 109
 
10.8%
2 178
17.7%
3 291
28.9%
4 219
21.7%
5 36
 
3.6%
ValueCountFrequency (%)
5 36
 
3.6%
4 219
21.7%
3 291
28.9%
2 178
17.7%
1 109
 
10.8%

w1_E02_3
Real number (ℝ)

Missing 

Do you use social networking sites for online academic group discussion? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing173
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean3.045563549
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:10.223708image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.079253546
Coefficient of variation (CV)0.3543690778
Kurtosis-0.6387119377
Mean3.045563549
Median Absolute Deviation (MAD)1
Skewness-0.3031676917
Sum2540
Variance1.164788217
MonotonicityNot monotonic
2025-02-26T17:43:10.264997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 273
27.1%
4 268
26.6%
2 156
15.5%
1 87
 
8.6%
5 50
 
5.0%
(Missing) 173
17.2%
ValueCountFrequency (%)
1 87
 
8.6%
2 156
15.5%
3 273
27.1%
4 268
26.6%
5 50
 
5.0%
ValueCountFrequency (%)
5 50
 
5.0%
4 268
26.6%
3 273
27.1%
2 156
15.5%
1 87
 
8.6%

w1_E02_4
Real number (ℝ)

Missing 

Do you use social networking sites to prepare for an examination? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing174
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean2.512605042
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:10.304589image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.006061943
Coefficient of variation (CV)0.4004059239
Kurtosis-0.4660647309
Mean2.512605042
Median Absolute Deviation (MAD)1
Skewness0.2529359781
Sum2093
Variance1.012160633
MonotonicityNot monotonic
2025-02-26T17:43:10.344709image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 281
27.9%
3 279
27.7%
1 140
13.9%
4 111
 
11.0%
5 22
 
2.2%
(Missing) 174
17.3%
ValueCountFrequency (%)
1 140
13.9%
2 281
27.9%
3 279
27.7%
4 111
 
11.0%
5 22
 
2.2%
ValueCountFrequency (%)
5 22
 
2.2%
4 111
 
11.0%
3 279
27.7%
2 281
27.9%
1 140
13.9%

w1_E02_5
Real number (ℝ)

Missing 

Do you use social networking sites for collaborative learning? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing176
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean2.495788207
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:10.385703image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.038845083
Coefficient of variation (CV)0.4162392788
Kurtosis-0.7361848928
Mean2.495788207
Median Absolute Deviation (MAD)1
Skewness0.2051545187
Sum2074
Variance1.079199107
MonotonicityNot monotonic
2025-02-26T17:43:10.425744image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 269
26.7%
3 252
25.0%
1 159
15.8%
4 134
13.3%
5 17
 
1.7%
(Missing) 176
17.5%
ValueCountFrequency (%)
1 159
15.8%
2 269
26.7%
3 252
25.0%
4 134
13.3%
5 17
 
1.7%
ValueCountFrequency (%)
5 17
 
1.7%
4 134
13.3%
3 252
25.0%
2 269
26.7%
1 159
15.8%

w1_E02_6
Real number (ℝ)

Missing 

Do you use social networking sites to keep you up to date with the activities of your university? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing175
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean2.686298077
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:10.466169image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.047100057
Coefficient of variation (CV)0.3897929519
Kurtosis-0.65487543
Mean2.686298077
Median Absolute Deviation (MAD)1
Skewness0.105226343
Sum2235
Variance1.09641853
MonotonicityNot monotonic
2025-02-26T17:43:10.506469image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 280
27.8%
2 246
24.4%
4 159
15.8%
1 117
11.6%
5 30
 
3.0%
(Missing) 175
17.4%
ValueCountFrequency (%)
1 117
11.6%
2 246
24.4%
3 280
27.8%
4 159
15.8%
5 30
 
3.0%
ValueCountFrequency (%)
5 30
 
3.0%
4 159
15.8%
3 280
27.8%
2 246
24.4%
1 117
11.6%

w1_E02_7
Real number (ℝ)

Missing 

Do you use social networking sites to seek help from your teachers? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing173
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean2.416067146
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:10.546658image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.009335
Coefficient of variation (CV)0.4177594989
Kurtosis-0.3934875276
Mean2.416067146
Median Absolute Deviation (MAD)1
Skewness0.3881550654
Sum2015
Variance1.018757143
MonotonicityNot monotonic
2025-02-26T17:43:10.590268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 309
30.7%
3 244
24.2%
1 160
15.9%
4 100
 
9.9%
5 21
 
2.1%
(Missing) 173
17.2%
ValueCountFrequency (%)
1 160
15.9%
2 309
30.7%
3 244
24.2%
4 100
 
9.9%
5 21
 
2.1%
ValueCountFrequency (%)
5 21
 
2.1%
4 100
 
9.9%
3 244
24.2%
2 309
30.7%
1 160
15.9%

w1_E02_8
Real number (ℝ)

Missing 

Do you use social networking sites to become sociable? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing174
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean2.93877551
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:10.631435image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.091861034
Coefficient of variation (CV)0.3715360464
Kurtosis-0.6598401138
Mean2.93877551
Median Absolute Deviation (MAD)1
Skewness-0.1838473415
Sum2448
Variance1.192160518
MonotonicityNot monotonic
2025-02-26T17:43:10.673380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 297
29.5%
4 221
21.9%
2 162
16.1%
1 104
 
10.3%
5 49
 
4.9%
(Missing) 174
17.3%
ValueCountFrequency (%)
1 104
 
10.3%
2 162
16.1%
3 297
29.5%
4 221
21.9%
5 49
 
4.9%
ValueCountFrequency (%)
5 49
 
4.9%
4 221
21.9%
3 297
29.5%
2 162
16.1%
1 104
 
10.3%

w1_E02_9
Real number (ℝ)

Missing 

Do you use social networking sites to create your social identity? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing175
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean3.480769231
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:10.713549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.246748989
Coefficient of variation (CV)0.35818203
Kurtosis-0.7299862759
Mean3.480769231
Median Absolute Deviation (MAD)1
Skewness-0.4901658083
Sum2896
Variance1.554383042
MonotonicityNot monotonic
2025-02-26T17:43:10.754690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 250
24.8%
5 205
20.4%
3 194
19.3%
2 106
10.5%
1 77
 
7.6%
(Missing) 175
17.4%
ValueCountFrequency (%)
1 77
 
7.6%
2 106
10.5%
3 194
19.3%
4 250
24.8%
5 205
20.4%
ValueCountFrequency (%)
5 205
20.4%
4 250
24.8%
3 194
19.3%
2 106
10.5%
1 77
 
7.6%

w1_E02_10
Real number (ℝ)

Missing 

Do you use social networking sites to attend social gatherings? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing175
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean3.381009615
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:10.795443image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.265205924
Coefficient of variation (CV)0.374209502
Kurtosis-0.8845992889
Mean3.381009615
Median Absolute Deviation (MAD)1
Skewness-0.3689780776
Sum2813
Variance1.600746031
MonotonicityNot monotonic
2025-02-26T17:43:10.835895image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 233
23.1%
3 200
19.9%
5 189
18.8%
2 126
12.5%
1 84
 
8.3%
(Missing) 175
17.4%
ValueCountFrequency (%)
1 84
 
8.3%
2 126
12.5%
3 200
19.9%
4 233
23.1%
5 189
18.8%
ValueCountFrequency (%)
5 189
18.8%
4 233
23.1%
3 200
19.9%
2 126
12.5%
1 84
 
8.3%

w1_E02_11
Real number (ℝ)

Missing 

Do you use social networking sites to keep in touch with my friends? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing176
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean3.27677497
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:10.875176image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.187455393
Coefficient of variation (CV)0.3623853953
Kurtosis-0.7321920783
Mean3.27677497
Median Absolute Deviation (MAD)1
Skewness-0.3010586873
Sum2723
Variance1.41005031
MonotonicityNot monotonic
2025-02-26T17:43:10.915491image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 245
24.3%
3 242
24.0%
5 136
13.5%
2 129
12.8%
1 79
 
7.8%
(Missing) 176
17.5%
ValueCountFrequency (%)
1 79
 
7.8%
2 129
12.8%
3 242
24.0%
4 245
24.3%
5 136
13.5%
ValueCountFrequency (%)
5 136
13.5%
4 245
24.3%
3 242
24.0%
2 129
12.8%
1 79
 
7.8%

w1_E02_12
Real number (ℝ)

Missing 

Do you use social networking sites to keep in touch with my relatives? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing175
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean1.802884615
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:10.956014image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9175866144
Coefficient of variation (CV)0.5089547088
Kurtosis0.1568737802
Mean1.802884615
Median Absolute Deviation (MAD)1
Skewness0.9526186028
Sum1500
Variance0.8419651949
MonotonicityNot monotonic
2025-02-26T17:43:10.995714image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 393
39.0%
2 261
25.9%
3 131
 
13.0%
4 43
 
4.3%
5 4
 
0.4%
(Missing) 175
17.4%
ValueCountFrequency (%)
1 393
39.0%
2 261
25.9%
3 131
 
13.0%
4 43
 
4.3%
5 4
 
0.4%
ValueCountFrequency (%)
5 4
 
0.4%
4 43
 
4.3%
3 131
 
13.0%
2 261
25.9%
1 393
39.0%

w1_E02_13
Real number (ℝ)

Missing 

Do you use social networking sites to get information regarding current social events? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing173
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean1.741007194
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:11.035581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9336046871
Coefficient of variation (CV)0.5362440145
Kurtosis0.7826470715
Mean1.741007194
Median Absolute Deviation (MAD)0
Skewness1.18395432
Sum1452
Variance0.8716177118
MonotonicityNot monotonic
2025-02-26T17:43:11.075993image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 434
43.1%
2 239
23.7%
3 112
 
11.1%
4 41
 
4.1%
5 8
 
0.8%
(Missing) 173
 
17.2%
ValueCountFrequency (%)
1 434
43.1%
2 239
23.7%
3 112
 
11.1%
4 41
 
4.1%
5 8
 
0.8%
ValueCountFrequency (%)
5 8
 
0.8%
4 41
 
4.1%
3 112
 
11.1%
2 239
23.7%
1 434
43.1%

w1_E02_14
Real number (ℝ)

Missing 

Do you use social networking sites for sharing pictures? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing174
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean2.032412965
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:11.115117image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.023829567
Coefficient of variation (CV)0.5037507558
Kurtosis-0.03934502341
Mean2.032412965
Median Absolute Deviation (MAD)1
Skewness0.7837852316
Sum1693
Variance1.048226983
MonotonicityNot monotonic
2025-02-26T17:43:11.156626image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 314
31.2%
2 270
26.8%
3 174
17.3%
4 58
 
5.8%
5 17
 
1.7%
(Missing) 174
17.3%
ValueCountFrequency (%)
1 314
31.2%
2 270
26.8%
3 174
17.3%
4 58
 
5.8%
5 17
 
1.7%
ValueCountFrequency (%)
5 17
 
1.7%
4 58
 
5.8%
3 174
17.3%
2 270
26.8%
1 314
31.2%

w1_E02_15
Real number (ℝ)

Missing 

Do you use social networking sites to look at funny stories? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing177
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean2.473493976
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:11.196583image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.240119876
Coefficient of variation (CV)0.5013636128
Kurtosis-0.8782520518
Mean2.473493976
Median Absolute Deviation (MAD)1
Skewness0.3993649619
Sum2053
Variance1.537897307
MonotonicityNot monotonic
2025-02-26T17:43:11.236790image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 235
23.3%
2 209
20.8%
3 201
20.0%
4 128
12.7%
5 57
 
5.7%
(Missing) 177
17.6%
ValueCountFrequency (%)
1 235
23.3%
2 209
20.8%
3 201
20.0%
4 128
12.7%
5 57
 
5.7%
ValueCountFrequency (%)
5 57
 
5.7%
4 128
12.7%
3 201
20.0%
2 209
20.8%
1 235
23.3%

w1_E02_16
Real number (ℝ)

Missing 

Do you use social networking sites for watching movies? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing176
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean2.327316486
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:11.282455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.16937318
Coefficient of variation (CV)0.5024555907
Kurtosis-0.5358922395
Mean2.327316486
Median Absolute Deviation (MAD)1
Skewness0.5788297558
Sum1934
Variance1.367433633
MonotonicityNot monotonic
2025-02-26T17:43:11.328126image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 250
24.8%
1 247
24.5%
3 193
19.2%
4 97
 
9.6%
5 44
 
4.4%
(Missing) 176
17.5%
ValueCountFrequency (%)
1 247
24.5%
2 250
24.8%
3 193
19.2%
4 97
 
9.6%
5 44
 
4.4%
ValueCountFrequency (%)
5 44
 
4.4%
4 97
 
9.6%
3 193
19.2%
2 250
24.8%
1 247
24.5%

w1_E02_17
Real number (ℝ)

Missing 

Do you use social networking sites to get relief from academic stress? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing179
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean2.63647343
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:11.370714image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.165598435
Coefficient of variation (CV)0.4421051326
Kurtosis-0.7659116931
Mean2.63647343
Median Absolute Deviation (MAD)1
Skewness0.2098233171
Sum2183
Variance1.358619713
MonotonicityNot monotonic
2025-02-26T17:43:11.412538image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 264
26.2%
2 206
20.5%
1 169
16.8%
4 135
13.4%
5 54
 
5.4%
(Missing) 179
17.8%
ValueCountFrequency (%)
1 169
16.8%
2 206
20.5%
3 264
26.2%
4 135
13.4%
5 54
 
5.4%
ValueCountFrequency (%)
5 54
 
5.4%
4 135
13.4%
3 264
26.2%
2 206
20.5%
1 169
16.8%

w1_E02_18
Real number (ℝ)

Missing 

Do you use social networking sites for reading news? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing180
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean2.145102781
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:11.453676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.052258994
Coefficient of variation (CV)0.4905401286
Kurtosis-0.1887395744
Mean2.145102781
Median Absolute Deviation (MAD)1
Skewness0.701361168
Sum1774
Variance1.107248991
MonotonicityNot monotonic
2025-02-26T17:43:11.494832image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 288
28.6%
1 268
26.6%
3 175
17.4%
4 75
 
7.4%
5 21
 
2.1%
(Missing) 180
17.9%
ValueCountFrequency (%)
1 268
26.6%
2 288
28.6%
3 175
17.4%
4 75
 
7.4%
5 21
 
2.1%
ValueCountFrequency (%)
5 21
 
2.1%
4 75
 
7.4%
3 175
17.4%
2 288
28.6%
1 268
26.6%

w1_E02_19
Real number (ℝ)

Missing 

Do you use social networking sites to share new ideas? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing181
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean2.460048426
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:11.535668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.146896523
Coefficient of variation (CV)0.4662089212
Kurtosis-0.7348114567
Mean2.460048426
Median Absolute Deviation (MAD)1
Skewness0.3639457252
Sum2032
Variance1.315371634
MonotonicityNot monotonic
2025-02-26T17:43:11.575984image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 239
23.7%
3 223
22.1%
1 203
20.2%
4 123
12.2%
5 38
 
3.8%
(Missing) 181
18.0%
ValueCountFrequency (%)
1 203
20.2%
2 239
23.7%
3 223
22.1%
4 123
12.2%
5 38
 
3.8%
ValueCountFrequency (%)
5 38
 
3.8%
4 123
12.2%
3 223
22.1%
2 239
23.7%
1 203
20.2%

w1_E02_20
Real number (ℝ)

Missing 

Do you use social networking sites for getting jobs related information? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.6%
Missing175
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean2.631009615
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:11.615528image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.220423844
Coefficient of variation (CV)0.4638614153
Kurtosis-0.9962797114
Mean2.631009615
Median Absolute Deviation (MAD)1
Skewness0.2116378184
Sum2189
Variance1.489434359
MonotonicityNot monotonic
2025-02-26T17:43:11.656065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 216
21.4%
3 204
20.3%
1 186
18.5%
4 171
17.0%
5 55
 
5.5%
(Missing) 175
17.4%
ValueCountFrequency (%)
1 186
18.5%
2 216
21.4%
3 204
20.3%
4 171
17.0%
5 55
 
5.5%
ValueCountFrequency (%)
5 55
 
5.5%
4 171
17.0%
3 204
20.3%
2 216
21.4%
1 186
18.5%

w1_E02_21
Real number (ℝ)

Missing 

Distinct5
Distinct (%)0.6%
Missing176
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean2.620938628
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:11.695334image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.187076833
Coefficient of variation (CV)0.4529204996
Kurtosis-0.8383746357
Mean2.620938628
Median Absolute Deviation (MAD)1
Skewness0.2586946397
Sum2178
Variance1.409151407
MonotonicityNot monotonic
2025-02-26T17:43:11.735658image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 229
22.7%
2 227
22.5%
1 173
17.2%
4 146
14.5%
5 56
 
5.6%
(Missing) 176
17.5%
ValueCountFrequency (%)
1 173
17.2%
2 227
22.5%
3 229
22.7%
4 146
14.5%
5 56
 
5.6%
ValueCountFrequency (%)
5 56
 
5.6%
4 146
14.5%
3 229
22.7%
2 227
22.5%
1 173
17.2%

w1_E03
Real number (ℝ)

Missing 

You know what a chatbot is? 1. Yes, 2. No [go to F01]

Distinct2
Distinct (%)0.2%
Missing152
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean1.505263158
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:11.776323image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5002649366
Coefficient of variation (CV)0.332343839
Kurtosis-2.00424897
Mean1.505263158
Median Absolute Deviation (MAD)0
Skewness-0.02109081751
Sum1287
Variance0.2502650068
MonotonicityNot monotonic
2025-02-26T17:43:11.816061image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 432
42.9%
1 423
42.0%
(Missing) 152
 
15.1%
ValueCountFrequency (%)
1 423
42.0%
2 432
42.9%
ValueCountFrequency (%)
2 432
42.9%
1 423
42.0%

w1_E04
Real number (ℝ)

Missing 

Currently, do you use some chatbot? 1. Yes [go to E06], 2. No

Distinct2
Distinct (%)0.5%
Missing584
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean1.690307329
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:11.853588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4629143719
Coefficient of variation (CV)0.273864027
Kurtosis-1.323807426
Mean1.690307329
Median Absolute Deviation (MAD)0
Skewness-0.8261199609
Sum715
Variance0.2142897158
MonotonicityNot monotonic
2025-02-26T17:43:11.893340image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 292
29.0%
1 131
 
13.0%
(Missing) 584
58.0%
ValueCountFrequency (%)
1 131
13.0%
2 292
29.0%
ValueCountFrequency (%)
2 292
29.0%
1 131
13.0%

w1_E05
Real number (ℝ)

Missing 

In the past, have you tried to talk/converse with a chatbot? 1. Yes [go to F01], 2. No [go to F01]

Distinct2
Distinct (%)0.7%
Missing715
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean1.301369863
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:11.930486image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4596407235
Coefficient of variation (CV)0.3531976086
Kurtosis-1.251291564
Mean1.301369863
Median Absolute Deviation (MAD)0
Skewness0.8702449099
Sum380
Variance0.2112695947
MonotonicityNot monotonic
2025-02-26T17:43:11.968164image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 204
 
20.3%
2 88
 
8.7%
(Missing) 715
71.0%
ValueCountFrequency (%)
1 204
20.3%
2 88
8.7%
ValueCountFrequency (%)
2 88
8.7%
1 204
20.3%

w1_E06
Real number (ℝ)

Missing 

How many chatbot apps have you installed on your smartphone? N.|__|

Distinct3
Distinct (%)2.4%
Missing881
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean1.134920635
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:12.003559image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4070022035
Coefficient of variation (CV)0.3586173262
Kurtosis9.925884602
Mean1.134920635
Median Absolute Deviation (MAD)0
Skewness3.172192059
Sum143
Variance0.1656507937
MonotonicityNot monotonic
2025-02-26T17:43:12.044148image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 112
 
11.1%
2 11
 
1.1%
3 3
 
0.3%
(Missing) 881
87.5%
ValueCountFrequency (%)
1 112
11.1%
2 11
 
1.1%
3 3
 
0.3%
ValueCountFrequency (%)
3 3
 
0.3%
2 11
 
1.1%
1 112
11.1%

w1_E07
Text

Missing 

Can you tell us which chatbot(s) you have installed on your smartphone? App Name(s) (________)

Distinct43
Distinct (%)35.8%
Missing887
Missing (%)88.1%
Memory size9.1 KiB
2025-02-26T17:43:12.112146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length19
Median length4
Mean length4.183333333
Min length2

Characters and Unicode

Total characters502
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)27.5%

Sample

1st row小爱同学
2nd row小爱同学
3rd row小艺
4th rowSiri
5th row小度
ValueCountFrequency (%)
siri 41
32.5%
小爱同学 28
22.2%
小艺 7
 
5.6%
天猫精灵 6
 
4.8%
小v 3
 
2.4%
小爱 3
 
2.4%
小度 2
 
1.6%
智慧助手 2
 
1.6%
小冰 2
 
1.6%
华为的小艺 1
 
0.8%
Other values (31) 31
24.6%
2025-02-26T17:43:12.227982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 95
18.9%
63
12.5%
r 48
 
9.6%
s 36
 
7.2%
35
 
7.0%
31
 
6.2%
31
 
6.2%
13
 
2.6%
S 9
 
1.8%
v 9
 
1.8%
Other values (57) 132
26.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 502
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 95
18.9%
63
12.5%
r 48
 
9.6%
s 36
 
7.2%
35
 
7.0%
31
 
6.2%
31
 
6.2%
13
 
2.6%
S 9
 
1.8%
v 9
 
1.8%
Other values (57) 132
26.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 502
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 95
18.9%
63
12.5%
r 48
 
9.6%
s 36
 
7.2%
35
 
7.0%
31
 
6.2%
31
 
6.2%
13
 
2.6%
S 9
 
1.8%
v 9
 
1.8%
Other values (57) 132
26.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 502
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 95
18.9%
63
12.5%
r 48
 
9.6%
s 36
 
7.2%
35
 
7.0%
31
 
6.2%
31
 
6.2%
13
 
2.6%
S 9
 
1.8%
v 9
 
1.8%
Other values (57) 132
26.3%

w1_E08
Real number (ℝ)

Missing 

How often do use the chatbot? (1) Rarely/Never; (2) Every few weeks; (3) A few times a week; (4) About once a day; (5) Several times a day

Distinct5
Distinct (%)4.0%
Missing881
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean2.365079365
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:12.270968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8256214591
Coefficient of variation (CV)0.3490882679
Kurtosis1.378348905
Mean2.365079365
Median Absolute Deviation (MAD)0
Skewness0.9612343318
Sum298
Variance0.6816507937
MonotonicityNot monotonic
2025-02-26T17:43:12.381768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 72
 
7.1%
3 32
 
3.2%
1 11
 
1.1%
4 8
 
0.8%
5 3
 
0.3%
(Missing) 881
87.5%
ValueCountFrequency (%)
1 11
 
1.1%
2 72
7.1%
3 32
3.2%
4 8
 
0.8%
5 3
 
0.3%
ValueCountFrequency (%)
5 3
 
0.3%
4 8
 
0.8%
3 32
3.2%
2 72
7.1%
1 11
 
1.1%

w1_E09_1
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot shows you ads (advertisements) based on your online activity? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.9%
Missing880
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean3.464566929
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:12.422811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.252269531
Coefficient of variation (CV)0.3614505236
Kurtosis-0.7180910546
Mean3.464566929
Median Absolute Deviation (MAD)1
Skewness-0.3987666725
Sum440
Variance1.568178978
MonotonicityNot monotonic
2025-02-26T17:43:12.463057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 40
 
4.0%
5 34
 
3.4%
4 28
 
2.8%
2 13
 
1.3%
1 12
 
1.2%
(Missing) 880
87.4%
ValueCountFrequency (%)
1 12
 
1.2%
2 13
 
1.3%
3 40
4.0%
4 28
2.8%
5 34
3.4%
ValueCountFrequency (%)
5 34
3.4%
4 28
2.8%
3 40
4.0%
2 13
 
1.3%
1 12
 
1.2%

w1_E09_2
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot knew who you were, without logging in? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.9%
Missing880
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean3.669291339
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:12.501972image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.297464671
Coefficient of variation (CV)0.3536008868
Kurtosis-0.7062526171
Mean3.669291339
Median Absolute Deviation (MAD)1
Skewness-0.6016373163
Sum466
Variance1.683414573
MonotonicityNot monotonic
2025-02-26T17:43:12.541367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 47
 
4.7%
3 32
 
3.2%
4 25
 
2.5%
2 12
 
1.2%
1 11
 
1.1%
(Missing) 880
87.4%
ValueCountFrequency (%)
1 11
 
1.1%
2 12
 
1.2%
3 32
3.2%
4 25
2.5%
5 47
4.7%
ValueCountFrequency (%)
5 47
4.7%
4 25
2.5%
3 32
3.2%
2 12
 
1.2%
1 11
 
1.1%

w1_E09_3
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot analysed you, even when using other apps (applications)? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.9%
Missing880
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean3.535433071
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:12.580998image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.301984295
Coefficient of variation (CV)0.3682672728
Kurtosis-0.6964853304
Mean3.535433071
Median Absolute Deviation (MAD)1
Skewness-0.5940005143
Sum449
Variance1.695163105
MonotonicityNot monotonic
2025-02-26T17:43:12.622416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 37
 
3.7%
5 36
 
3.6%
3 27
 
2.7%
1 14
 
1.4%
2 13
 
1.3%
(Missing) 880
87.4%
ValueCountFrequency (%)
1 14
 
1.4%
2 13
 
1.3%
3 27
2.7%
4 37
3.7%
5 36
3.6%
ValueCountFrequency (%)
5 36
3.6%
4 37
3.7%
3 27
2.7%
2 13
 
1.3%
1 14
 
1.4%

w1_E09_4
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your age? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.9%
Missing880
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean3.047244094
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:12.663302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.227064297
Coefficient of variation (CV)0.4026800148
Kurtosis-0.8089139256
Mean3.047244094
Median Absolute Deviation (MAD)1
Skewness0.06589167713
Sum387
Variance1.505686789
MonotonicityNot monotonic
2025-02-26T17:43:12.702576image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 45
 
4.5%
2 26
 
2.6%
5 21
 
2.1%
4 20
 
2.0%
1 15
 
1.5%
(Missing) 880
87.4%
ValueCountFrequency (%)
1 15
 
1.5%
2 26
2.6%
3 45
4.5%
4 20
2.0%
5 21
2.1%
ValueCountFrequency (%)
5 21
2.1%
4 20
2.0%
3 45
4.5%
2 26
2.6%
1 15
 
1.5%

w1_E09_5
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your gender? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)4.0%
Missing881
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean2.785714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:12.742038image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.149658334
Coefficient of variation (CV)0.4126978636
Kurtosis-0.5260716012
Mean2.785714286
Median Absolute Deviation (MAD)1
Skewness0.2056919471
Sum351
Variance1.321714286
MonotonicityNot monotonic
2025-02-26T17:43:12.782140image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 48
 
4.8%
2 30
 
3.0%
1 19
 
1.9%
4 17
 
1.7%
5 12
 
1.2%
(Missing) 881
87.5%
ValueCountFrequency (%)
1 19
 
1.9%
2 30
3.0%
3 48
4.8%
4 17
 
1.7%
5 12
 
1.2%
ValueCountFrequency (%)
5 12
 
1.2%
4 17
 
1.7%
3 48
4.8%
2 30
3.0%
1 19
 
1.9%

w1_E09_6
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your religious/political views? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.9%
Missing880
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean3.181102362
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:12.822156image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.376776329
Coefficient of variation (CV)0.4327984996
Kurtosis-1.149308599
Mean3.181102362
Median Absolute Deviation (MAD)1
Skewness-0.1468124585
Sum404
Variance1.895513061
MonotonicityNot monotonic
2025-02-26T17:43:12.864336image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 34
 
3.4%
5 30
 
3.0%
4 23
 
2.3%
2 20
 
2.0%
1 20
 
2.0%
(Missing) 880
87.4%
ValueCountFrequency (%)
1 20
2.0%
2 20
2.0%
3 34
3.4%
4 23
2.3%
5 30
3.0%
ValueCountFrequency (%)
5 30
3.0%
4 23
2.3%
3 34
3.4%
2 20
2.0%
1 20
2.0%

w1_E09_7
Real number (ℝ)

Missing 

How much do you agree with the following statement: if individuals or groups perform threatening acts to other users, through the chatbot? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.9%
Missing880
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean3.897637795
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:12.904654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.516233039
Coefficient of variation (CV)0.3890133253
Kurtosis-0.4777789401
Mean3.897637795
Median Absolute Deviation (MAD)0
Skewness-1.045387883
Sum495
Variance2.29896263
MonotonicityNot monotonic
2025-02-26T17:43:12.946627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 72
 
7.1%
1 21
 
2.1%
4 16
 
1.6%
3 14
 
1.4%
2 4
 
0.4%
(Missing) 880
87.4%
ValueCountFrequency (%)
1 21
 
2.1%
2 4
 
0.4%
3 14
 
1.4%
4 16
 
1.6%
5 72
7.1%
ValueCountFrequency (%)
5 72
7.1%
4 16
 
1.6%
3 14
 
1.4%
2 4
 
0.4%
1 21
 
2.1%

w1_F01
Real number (ℝ)

Missing 

Are you a part of, or are you a member of, any student association or group and/or other nonstudents associations? (e.g. religious, political, sports, etc.) 1) Only student ass. [go to F02], 2)Only nonstudent ass. [go to F04], 3) Both, 4) No [go to G01]

Distinct4
Distinct (%)0.5%
Missing156
Missing (%)15.5%
Infinite0
Infinite (%)0.0%
Mean2.921269095
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:12.985521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.35547909
Coefficient of variation (CV)0.4640035019
Kurtosis-1.510819037
Mean2.921269095
Median Absolute Deviation (MAD)0
Skewness-0.6068991
Sum2486
Variance1.837323564
MonotonicityNot monotonic
2025-02-26T17:43:13.022579image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 486
48.3%
1 264
26.2%
3 76
 
7.5%
2 25
 
2.5%
(Missing) 156
 
15.5%
ValueCountFrequency (%)
1 264
26.2%
2 25
 
2.5%
3 76
 
7.5%
4 486
48.3%
ValueCountFrequency (%)
4 486
48.3%
3 76
 
7.5%
2 25
 
2.5%
1 264
26.2%

w1_F02
Real number (ℝ)

Missing  Zeros 

Distinct10
Distinct (%)2.7%
Missing643
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean29.13186813
Minimum0
Maximum10000
Zeros15
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:13.061523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum10000
Range10000
Interquartile range (IQR)1

Descriptive statistics

Standard deviation524.0573005
Coefficient of variation (CV)17.98914159
Kurtosis363.9941317
Mean29.13186813
Median Absolute Deviation (MAD)0
Skewness19.07855416
Sum10604
Variance274636.0542
MonotonicityNot monotonic
2025-02-26T17:43:13.102135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 187
 
18.6%
2 109
 
10.8%
3 39
 
3.9%
0 15
 
1.5%
4 7
 
0.7%
5 3
 
0.3%
10000 1
 
0.1%
11 1
 
0.1%
22 1
 
0.1%
6 1
 
0.1%
(Missing) 643
63.9%
ValueCountFrequency (%)
0 15
 
1.5%
1 187
18.6%
2 109
10.8%
3 39
 
3.9%
4 7
 
0.7%
ValueCountFrequency (%)
10000 1
 
0.1%
22 1
 
0.1%
11 1
 
0.1%
6 1
 
0.1%
5 3
0.3%

w1_F03_1
Boolean

Constant  Missing 

Please mark the categories of interest of the society(ies) you belong to: Faith

Distinct1
Distinct (%)0.1%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
979 
(Missing)
 
28
ValueCountFrequency (%)
False 979
97.2%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.134675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_2
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to: Arts and Performance

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
898 
True
 
81
(Missing)
 
28
ValueCountFrequency (%)
False 898
89.2%
True 81
 
8.0%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.161913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_3
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to: Activity and specialist (e.g., music, alt music, wine, dance, video makers)

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
919 
True
 
60
(Missing)
 
28
ValueCountFrequency (%)
False 919
91.3%
True 60
 
6.0%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.191862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_4
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to: Cultural and National

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
972 
True
 
7
(Missing)
 
28
ValueCountFrequency (%)
False 972
96.5%
True 7
 
0.7%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.220203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_5
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to: Careers

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
930 
True
 
49
(Missing)
 
28
ValueCountFrequency (%)
False 930
92.4%
True 49
 
4.9%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.248700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_6
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to: Volunteering and Charity

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
835 
True
144 
(Missing)
 
28
ValueCountFrequency (%)
False 835
82.9%
True 144
 
14.3%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.278495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_7
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
969 
True
 
10
(Missing)
 
28
ValueCountFrequency (%)
False 969
96.2%
True 10
 
1.0%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.308276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_8
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to: Media

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
942 
True
 
37
(Missing)
 
28
ValueCountFrequency (%)
False 942
93.5%
True 37
 
3.7%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.336689image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_9
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to: Sport

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
927 
True
 
52
(Missing)
 
28
ValueCountFrequency (%)
False 927
92.1%
True 52
 
5.2%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.366793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_10
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to: Recreational

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
928 
True
 
51
(Missing)
 
28
ValueCountFrequency (%)
False 928
92.2%
True 51
 
5.1%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.395131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_other
Text

Missing 

Please mark the categories of interest of the society(ies) you belong to: Other, specify: ________

Distinct23
Distinct (%)92.0%
Missing982
Missing (%)97.5%
Memory size8.4 KiB
2025-02-26T17:43:13.444520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length12
Median length6
Mean length4.24
Min length2

Characters and Unicode

Total characters106
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)88.0%

Sample

1st row秘书处
2nd row管理类
3rd row基础学科学习
4th row勤工俭学工作
5th row举办学术讲座类
ValueCountFrequency (%)
学生会 3
 
12.0%
秘书处 1
 
4.0%
管理类 1
 
4.0%
基础学科学习 1
 
4.0%
勤工俭学工作 1
 
4.0%
举办学术讲座类 1
 
4.0%
专业类,无线电爱好者协会 1
 
4.0%
华硕合伙人 1
 
4.0%
团委 1
 
4.0%
模联 1
 
4.0%
Other values (13) 13
52.0%
2025-02-26T17:43:13.547891image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
10.4%
6
 
5.7%
5
 
4.7%
4
 
3.8%
4
 
3.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
Other values (56) 62
58.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 106
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
11
 
10.4%
6
 
5.7%
5
 
4.7%
4
 
3.8%
4
 
3.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
Other values (56) 62
58.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 106
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
11
 
10.4%
6
 
5.7%
5
 
4.7%
4
 
3.8%
4
 
3.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
Other values (56) 62
58.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 106
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
11
 
10.4%
6
 
5.7%
5
 
4.7%
4
 
3.8%
4
 
3.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
Other values (56) 62
58.5%

w1_F04_1
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Faith

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
976 
True
 
3
(Missing)
 
28
ValueCountFrequency (%)
False 976
96.9%
True 3
 
0.3%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.587510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_2
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Arts and Performance

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
967 
True
 
12
(Missing)
 
28
ValueCountFrequency (%)
False 967
96.0%
True 12
 
1.2%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.615943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_3
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Activity and specialist (e.g., music, alt music, wine, dance, video makers)

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
966 
True
 
13
(Missing)
 
28
ValueCountFrequency (%)
False 966
95.9%
True 13
 
1.3%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.644473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_4
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Cultural and National

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
976 
True
 
3
(Missing)
 
28
ValueCountFrequency (%)
False 976
96.9%
True 3
 
0.3%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.673737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_5
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Careers

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
972 
True
 
7
(Missing)
 
28
ValueCountFrequency (%)
False 972
96.5%
True 7
 
0.7%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.701964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_6
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Volunteering and Charity

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
948 
True
 
31
(Missing)
 
28
ValueCountFrequency (%)
False 948
94.1%
True 31
 
3.1%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.730300image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_7
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
976 
True
 
3
(Missing)
 
28
ValueCountFrequency (%)
False 976
96.9%
True 3
 
0.3%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.759512image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_8
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Media

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
977 
True
 
2
(Missing)
 
28
ValueCountFrequency (%)
False 977
97.0%
True 2
 
0.2%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.788224image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_9
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Sport

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
960 
True
 
19
(Missing)
 
28
ValueCountFrequency (%)
False 960
95.3%
True 19
 
1.9%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.816894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_10
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Recreational

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
955 
True
 
24
(Missing)
 
28
ValueCountFrequency (%)
False 955
94.8%
True 24
 
2.4%
(Missing) 28
 
2.8%
2025-02-26T17:43:13.846272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_other
Text

Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Other, specify

Distinct2
Distinct (%)100.0%
Missing1005
Missing (%)99.8%
Memory size8.1 KiB
2025-02-26T17:43:13.878678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row通识教育
2nd row团委
ValueCountFrequency (%)
通识教育 1
50.0%
团委 1
50.0%
2025-02-26T17:43:13.969306image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

w1_G01_1
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Acted in a theatre play (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing179
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean1.876811594
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.008755image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3288519891
Coefficient of variation (CV)0.1752184343
Kurtosis3.285185123
Mean1.876811594
Median Absolute Deviation (MAD)0
Skewness-2.297227832
Sum1554
Variance0.1081436307
MonotonicityNot monotonic
2025-02-26T17:43:14.048035image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 726
72.1%
1 102
 
10.1%
(Missing) 179
 
17.8%
ValueCountFrequency (%)
1 102
 
10.1%
2 726
72.1%
ValueCountFrequency (%)
2 726
72.1%
1 102
 
10.1%

w1_G01_2
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Directed a theatre play (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing183
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean1.970873786
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.085327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1682624045
Coefficient of variation (CV)0.08537452053
Kurtosis29.54960755
Mean1.970873786
Median Absolute Deviation (MAD)0
Skewness-5.610516098
Sum1624
Variance0.02831223678
MonotonicityNot monotonic
2025-02-26T17:43:14.121894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 800
79.4%
1 24
 
2.4%
(Missing) 183
 
18.2%
ValueCountFrequency (%)
1 24
 
2.4%
2 800
79.4%
ValueCountFrequency (%)
2 800
79.4%
1 24
 
2.4%

w1_G01_3
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Performed as a stand-up comedian (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing183
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean1.964805825
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.158461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1843822201
Coefficient of variation (CV)0.09384246407
Kurtosis23.60050768
Mean1.964805825
Median Absolute Deviation (MAD)0
Skewness-5.054031126
Sum1619
Variance0.03399680308
MonotonicityNot monotonic
2025-02-26T17:43:14.195008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 795
78.9%
1 29
 
2.9%
(Missing) 183
 
18.2%
ValueCountFrequency (%)
1 29
 
2.9%
2 795
78.9%
ValueCountFrequency (%)
2 795
78.9%
1 29
 
2.9%

w1_G01_4
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing183
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean1.851941748
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.230776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.355373425
Coefficient of variation (CV)0.1918923343
Kurtosis1.946954249
Mean1.851941748
Median Absolute Deviation (MAD)0
Skewness-1.985506111
Sum1526
Variance0.1262902712
MonotonicityNot monotonic
2025-02-26T17:43:14.270161image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 702
69.7%
1 122
 
12.1%
(Missing) 183
 
18.2%
ValueCountFrequency (%)
1 122
 
12.1%
2 702
69.7%
ValueCountFrequency (%)
2 702
69.7%
1 122
 
12.1%

w1_G01_5
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Played a musical instrument (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing182
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean1.887272727
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.308590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3164509725
Coefficient of variation (CV)0.1676763342
Kurtosis4.029661629
Mean1.887272727
Median Absolute Deviation (MAD)0
Skewness-2.453548167
Sum1557
Variance0.100141218
MonotonicityNot monotonic
2025-02-26T17:43:14.348067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 732
72.7%
1 93
 
9.2%
(Missing) 182
 
18.1%
ValueCountFrequency (%)
1 93
 
9.2%
2 732
72.7%
ValueCountFrequency (%)
2 732
72.7%
1 93
 
9.2%

w1_G01_6
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Played a musical instrument in an orchestra or pop/rock/jazz/folk band (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing183
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean1.955097087
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.385354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2072166769
Coefficient of variation (CV)0.1059879217
Kurtosis17.43014286
Mean1.955097087
Median Absolute Deviation (MAD)0
Skewness-4.40316278
Sum1611
Variance0.04293875119
MonotonicityNot monotonic
2025-02-26T17:43:14.422012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 787
78.2%
1 37
 
3.7%
(Missing) 183
 
18.2%
ValueCountFrequency (%)
1 37
 
3.7%
2 787
78.2%
ValueCountFrequency (%)
2 787
78.2%
1 37
 
3.7%

w1_G01_7
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Composed music or performed as DJ (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing187
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean1.979268293
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.459153image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1425717092
Coefficient of variation (CV)0.07203253332
Kurtosis43.52873927
Mean1.979268293
Median Absolute Deviation (MAD)0
Skewness-6.739627382
Sum1623
Variance0.02032669228
MonotonicityNot monotonic
2025-02-26T17:43:14.495858image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 803
79.7%
1 17
 
1.7%
(Missing) 187
 
18.6%
ValueCountFrequency (%)
1 17
 
1.7%
2 803
79.7%
ValueCountFrequency (%)
2 803
79.7%
1 17
 
1.7%

w1_G01_8
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance) (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing182
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean1.88
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.532477image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3251586618
Coefficient of variation (CV)0.172956735
Kurtosis3.498125708
Mean1.88
Median Absolute Deviation (MAD)0
Skewness-2.343000483
Sum1551
Variance0.1057281553
MonotonicityNot monotonic
2025-02-26T17:43:14.570976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 726
72.1%
1 99
 
9.8%
(Missing) 182
 
18.1%
ValueCountFrequency (%)
1 99
 
9.8%
2 726
72.1%
ValueCountFrequency (%)
2 726
72.1%
1 99
 
9.8%

w1_G01_9
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Did choreography for a dance performance (1) YES (2) NO

Distinct2
Distinct (%)0.2%
Missing200
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.961586121
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.608122image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1923124582
Coefficient of variation (CV)0.0980392633
Kurtosis21.21082221
Mean1.961586121
Median Absolute Deviation (MAD)0
Skewness-4.812303098
Sum1583
Variance0.03698408159
MonotonicityNot monotonic
2025-02-26T17:43:14.645543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 776
77.1%
1 31
 
3.1%
(Missing) 200
 
19.9%
ValueCountFrequency (%)
1 31
 
3.1%
2 776
77.1%
ValueCountFrequency (%)
2 776
77.1%
1 31
 
3.1%

w1_G02_1
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Theatre plays? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.8%
Missing230
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean1.737451737
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.681000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.173395018
Coefficient of variation (CV)0.6753540217
Kurtosis3.98199063
Mean1.737451737
Median Absolute Deviation (MAD)0
Skewness2.02292146
Sum1350
Variance1.376855869
MonotonicityNot monotonic
2025-02-26T17:43:14.718118image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 457
45.4%
2 189
18.8%
3 70
 
7.0%
6 23
 
2.3%
4 23
 
2.3%
5 15
 
1.5%
(Missing) 230
22.8%
ValueCountFrequency (%)
1 457
45.4%
2 189
18.8%
3 70
 
7.0%
4 23
 
2.3%
5 15
 
1.5%
ValueCountFrequency (%)
6 23
 
2.3%
5 15
 
1.5%
4 23
 
2.3%
3 70
 
7.0%
2 189
18.8%

w1_G02_2
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Cabarets, or a stand-up comedy? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing186
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.510353228
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.824947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.596169958
Coefficient of variation (CV)0.635834806
Kurtosis-0.3570227164
Mean2.510353228
Median Absolute Deviation (MAD)1
Skewness0.8757569268
Sum2061
Variance2.547758534
MonotonicityNot monotonic
2025-02-26T17:43:14.863458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 299
29.7%
2 190
18.9%
3 136
13.5%
4 73
 
7.2%
6 67
 
6.7%
5 56
 
5.6%
(Missing) 186
18.5%
ValueCountFrequency (%)
1 299
29.7%
2 190
18.9%
3 136
13.5%
4 73
 
7.2%
5 56
 
5.6%
ValueCountFrequency (%)
6 67
 
6.7%
5 56
 
5.6%
4 73
 
7.2%
3 136
13.5%
2 190
18.9%

w1_G02_3
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Ballets or a modern dance? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing179
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean1.692028986
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.900571image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.139839926
Coefficient of variation (CV)0.6736527183
Kurtosis3.885007577
Mean1.692028986
Median Absolute Deviation (MAD)0
Skewness2.008491885
Sum1401
Variance1.299235056
MonotonicityNot monotonic
2025-02-26T17:43:14.938204image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 512
50.8%
2 180
 
17.9%
3 67
 
6.7%
4 36
 
3.6%
6 19
 
1.9%
5 14
 
1.4%
(Missing) 179
 
17.8%
ValueCountFrequency (%)
1 512
50.8%
2 180
 
17.9%
3 67
 
6.7%
4 36
 
3.6%
5 14
 
1.4%
ValueCountFrequency (%)
6 19
 
1.9%
5 14
 
1.4%
4 36
 
3.6%
3 67
 
6.7%
2 180
17.9%

w1_G02_4
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Classical music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing182
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.195151515
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:14.974890image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.8
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.481922052
Coefficient of variation (CV)0.6750887316
Kurtosis0.2786072698
Mean2.195151515
Median Absolute Deviation (MAD)1
Skewness1.139911389
Sum1811
Variance2.196092969
MonotonicityNot monotonic
2025-02-26T17:43:15.011972image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 390
38.7%
2 167
16.6%
3 110
 
10.9%
4 75
 
7.4%
6 42
 
4.2%
5 41
 
4.1%
(Missing) 182
18.1%
ValueCountFrequency (%)
1 390
38.7%
2 167
16.6%
3 110
 
10.9%
4 75
 
7.4%
5 41
 
4.1%
ValueCountFrequency (%)
6 42
 
4.2%
5 41
 
4.1%
4 75
7.4%
3 110
10.9%
2 167
16.6%

w1_G02_5
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Opera? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing187
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean1.713414634
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.047639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.147089771
Coefficient of variation (CV)0.6694758809
Kurtosis3.404029123
Mean1.713414634
Median Absolute Deviation (MAD)0
Skewness1.899866906
Sum1405
Variance1.315814944
MonotonicityNot monotonic
2025-02-26T17:43:15.086131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 504
50.0%
2 164
 
16.3%
3 87
 
8.6%
4 30
 
3.0%
5 18
 
1.8%
6 17
 
1.7%
(Missing) 187
 
18.6%
ValueCountFrequency (%)
1 504
50.0%
2 164
 
16.3%
3 87
 
8.6%
4 30
 
3.0%
5 18
 
1.8%
ValueCountFrequency (%)
6 17
 
1.7%
5 18
 
1.8%
4 30
 
3.0%
3 87
8.6%
2 164
16.3%

w1_G02_6
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Musical? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing185
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean1.813868613
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.122203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.235153932
Coefficient of variation (CV)0.6809500549
Kurtosis2.451441769
Mean1.813868613
Median Absolute Deviation (MAD)0
Skewness1.718209834
Sum1491
Variance1.525605235
MonotonicityNot monotonic
2025-02-26T17:43:15.160582image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 477
47.4%
2 173
 
17.2%
3 86
 
8.5%
4 42
 
4.2%
6 22
 
2.2%
5 22
 
2.2%
(Missing) 185
 
18.4%
ValueCountFrequency (%)
1 477
47.4%
2 173
 
17.2%
3 86
 
8.5%
4 42
 
4.2%
5 22
 
2.2%
ValueCountFrequency (%)
6 22
 
2.2%
5 22
 
2.2%
4 42
 
4.2%
3 86
8.5%
2 173
17.2%

w1_G02_7
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Pop or rock? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing181
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean3.397094431
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.196533image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.889605707
Coefficient of variation (CV)0.5562417371
Kurtosis-1.468428943
Mean3.397094431
Median Absolute Deviation (MAD)2
Skewness0.03692768181
Sum2806
Variance3.570609729
MonotonicityNot monotonic
2025-02-26T17:43:15.233649image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 219
21.7%
6 168
16.7%
5 120
11.9%
4 115
11.4%
3 111
11.0%
2 93
9.2%
(Missing) 181
18.0%
ValueCountFrequency (%)
1 219
21.7%
2 93
9.2%
3 111
11.0%
4 115
11.4%
5 120
11.9%
ValueCountFrequency (%)
6 168
16.7%
5 120
11.9%
4 115
11.4%
3 111
11.0%
2 93
9.2%

w1_G02_8
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Jazz or blues? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing182
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.303030303
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.270070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.560371822
Coefficient of variation (CV)0.6775298702
Kurtosis-0.01772025321
Mean2.303030303
Median Absolute Deviation (MAD)1
Skewness1.046844774
Sum1900
Variance2.434760224
MonotonicityNot monotonic
2025-02-26T17:43:15.309168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 373
37.0%
2 160
15.9%
3 117
 
11.6%
4 75
 
7.4%
6 56
 
5.6%
5 44
 
4.4%
(Missing) 182
18.1%
ValueCountFrequency (%)
1 373
37.0%
2 160
15.9%
3 117
 
11.6%
4 75
 
7.4%
5 44
 
4.4%
ValueCountFrequency (%)
6 56
 
5.6%
5 44
 
4.4%
4 75
7.4%
3 117
11.6%
2 160
15.9%

w1_G02_9
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Folk music concert? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing182
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean3.093333333
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.347705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.697304164
Coefficient of variation (CV)0.5486974667
Kurtosis-1.111018327
Mean3.093333333
Median Absolute Deviation (MAD)1
Skewness0.3134019769
Sum2552
Variance2.880841424
MonotonicityNot monotonic
2025-02-26T17:43:15.384983image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 202
20.1%
3 152
15.1%
2 143
14.2%
4 139
13.8%
6 107
10.6%
5 82
8.1%
(Missing) 182
18.1%
ValueCountFrequency (%)
1 202
20.1%
2 143
14.2%
3 152
15.1%
4 139
13.8%
5 82
8.1%
ValueCountFrequency (%)
6 107
10.6%
5 82
8.1%
4 139
13.8%
3 152
15.1%
2 143
14.2%

w1_G02_10
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of World music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing182
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.43030303
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.421444image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5580368
Coefficient of variation (CV)0.6410874614
Kurtosis-0.2411015956
Mean2.43030303
Median Absolute Deviation (MAD)1
Skewness0.9222362445
Sum2005
Variance2.42747867
MonotonicityNot monotonic
2025-02-26T17:43:15.459888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 319
31.7%
2 188
18.7%
3 130
12.9%
4 76
 
7.5%
5 56
 
5.6%
6 56
 
5.6%
(Missing) 182
18.1%
ValueCountFrequency (%)
1 319
31.7%
2 188
18.7%
3 130
12.9%
4 76
 
7.5%
5 56
 
5.6%
ValueCountFrequency (%)
6 56
 
5.6%
5 56
 
5.6%
4 76
7.5%
3 130
12.9%
2 188
18.7%

w1_G02_11
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Urban (rap, hip-hop, trap)? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing182
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.597575758
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.497007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.689629689
Coefficient of variation (CV)0.6504640659
Kurtosis-0.6527568882
Mean2.597575758
Median Absolute Deviation (MAD)1
Skewness0.7883268433
Sum2143
Variance2.854848485
MonotonicityNot monotonic
2025-02-26T17:43:15.536357image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 305
30.3%
2 181
18.0%
3 107
 
10.6%
4 91
 
9.0%
6 86
 
8.5%
5 55
 
5.5%
(Missing) 182
18.1%
ValueCountFrequency (%)
1 305
30.3%
2 181
18.0%
3 107
 
10.6%
4 91
 
9.0%
5 55
 
5.5%
ValueCountFrequency (%)
6 86
8.5%
5 55
 
5.5%
4 91
9.0%
3 107
10.6%
2 181
18.0%

w1_G02_12
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Dance or house? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing180
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean2.290205562
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.573010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.55930025
Coefficient of variation (CV)0.6808560226
Kurtosis-0.04733905406
Mean2.290205562
Median Absolute Deviation (MAD)1
Skewness1.045209138
Sum1894
Variance2.43141727
MonotonicityNot monotonic
2025-02-26T17:43:15.612692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 380
37.7%
2 159
15.8%
3 110
 
10.9%
4 77
 
7.6%
6 53
 
5.3%
5 48
 
4.8%
(Missing) 180
17.9%
ValueCountFrequency (%)
1 380
37.7%
2 159
15.8%
3 110
 
10.9%
4 77
 
7.6%
5 48
 
4.8%
ValueCountFrequency (%)
6 53
 
5.3%
5 48
 
4.8%
4 77
7.6%
3 110
10.9%
2 159
15.8%

w1_G02_13
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Popular national or local music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing180
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean2.582829504
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.649615image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.622733539
Coefficient of variation (CV)0.6282774517
Kurtosis-0.6416499999
Mean2.582829504
Median Absolute Deviation (MAD)1
Skewness0.7347768192
Sum2136
Variance2.633264139
MonotonicityNot monotonic
2025-02-26T17:43:15.687824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 301
29.9%
2 170
16.9%
3 121
12.0%
4 110
 
10.9%
6 67
 
6.7%
5 58
 
5.8%
(Missing) 180
17.9%
ValueCountFrequency (%)
1 301
29.9%
2 170
16.9%
3 121
12.0%
4 110
 
10.9%
5 58
 
5.8%
ValueCountFrequency (%)
6 67
 
6.7%
5 58
 
5.8%
4 110
10.9%
3 121
12.0%
2 170
16.9%

w1_G02_14
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of A singer/songwriter? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing179
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean3.833333333
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.725173image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.881302387
Coefficient of variation (CV)0.4907745356
Kurtosis-1.380934109
Mean3.833333333
Median Absolute Deviation (MAD)2
Skewness-0.2757312747
Sum3174
Variance3.53929867
MonotonicityNot monotonic
2025-02-26T17:43:15.762945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 242
24.0%
1 159
15.8%
5 123
12.2%
4 116
11.5%
3 108
10.7%
2 80
 
7.9%
(Missing) 179
17.8%
ValueCountFrequency (%)
1 159
15.8%
2 80
7.9%
3 108
10.7%
4 116
11.5%
5 123
12.2%
ValueCountFrequency (%)
6 242
24.0%
5 123
12.2%
4 116
11.5%
3 108
10.7%
2 80
 
7.9%

w1_G02_15
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Other music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing182
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean3.081212121
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.800260image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.800606285
Coefficient of variation (CV)0.584382449
Kurtosis-1.267974961
Mean3.081212121
Median Absolute Deviation (MAD)2
Skewness0.333350269
Sum2542
Variance3.242182995
MonotonicityNot monotonic
2025-02-26T17:43:15.837856image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 232
23.0%
2 138
13.7%
3 132
13.1%
6 125
12.4%
4 102
10.1%
5 96
9.5%
(Missing) 182
18.1%
ValueCountFrequency (%)
1 232
23.0%
2 138
13.7%
3 132
13.1%
4 102
10.1%
5 96
9.5%
ValueCountFrequency (%)
6 125
12.4%
5 96
9.5%
4 102
10.1%
3 132
13.1%
2 138
13.7%

w1_G02_16
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of A sport events? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.7%
Missing180
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean2.488512696
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.873541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.721056348
Coefficient of variation (CV)0.6916003885
Kurtosis-0.5605156588
Mean2.488512696
Median Absolute Deviation (MAD)1
Skewness0.8908063762
Sum2058
Variance2.962034952
MonotonicityNot monotonic
2025-02-26T17:43:15.913292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 355
35.3%
2 160
15.9%
3 96
 
9.5%
6 87
 
8.6%
4 72
 
7.1%
5 57
 
5.7%
(Missing) 180
17.9%
ValueCountFrequency (%)
1 355
35.3%
2 160
15.9%
3 96
 
9.5%
4 72
 
7.1%
5 57
 
5.7%
ValueCountFrequency (%)
6 87
8.6%
5 57
 
5.7%
4 72
7.1%
3 96
9.5%
2 160
15.9%

w1_G03_1
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing189
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean4.238386308
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:15.950846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.122003514
Coefficient of variation (CV)0.264724221
Kurtosis1.261270713
Mean4.238386308
Median Absolute Deviation (MAD)0
Skewness-1.459058863
Sum3467
Variance1.258891885
MonotonicityNot monotonic
2025-02-26T17:43:15.991749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 485
48.2%
4 155
 
15.4%
3 104
 
10.3%
1 38
 
3.8%
2 36
 
3.6%
(Missing) 189
 
18.8%
ValueCountFrequency (%)
1 38
 
3.8%
2 36
 
3.6%
3 104
 
10.3%
4 155
 
15.4%
5 485
48.2%
ValueCountFrequency (%)
5 485
48.2%
4 155
 
15.4%
3 104
 
10.3%
2 36
 
3.6%
1 38
 
3.8%

w1_G03_2
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing187
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean3.146341463
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.031374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.328029297
Coefficient of variation (CV)0.4220868307
Kurtosis-1.127646471
Mean3.146341463
Median Absolute Deviation (MAD)1
Skewness-0.1132505628
Sum2580
Variance1.763661812
MonotonicityNot monotonic
2025-02-26T17:43:16.071536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 198
19.7%
4 181
18.0%
5 165
16.4%
2 161
16.0%
1 115
11.4%
(Missing) 187
18.6%
ValueCountFrequency (%)
1 115
11.4%
2 161
16.0%
3 198
19.7%
4 181
18.0%
5 165
16.4%
ValueCountFrequency (%)
5 165
16.4%
4 181
18.0%
3 198
19.7%
2 161
16.0%
1 115
11.4%

w1_G03_3
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing195
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean4.397783251
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.110550image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.031271832
Coefficient of variation (CV)0.2344981034
Kurtosis2.459045536
Mean4.397783251
Median Absolute Deviation (MAD)0
Skewness-1.7800026
Sum3571
Variance1.06352159
MonotonicityNot monotonic
2025-02-26T17:43:16.150591image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 548
54.4%
4 120
 
11.9%
3 91
 
9.0%
1 28
 
2.8%
2 25
 
2.5%
(Missing) 195
 
19.4%
ValueCountFrequency (%)
1 28
 
2.8%
2 25
 
2.5%
3 91
 
9.0%
4 120
 
11.9%
5 548
54.4%
ValueCountFrequency (%)
5 548
54.4%
4 120
 
11.9%
3 91
 
9.0%
2 25
 
2.5%
1 28
 
2.8%

w1_G03_4
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing188
Missing (%)18.7%
Infinite0
Infinite (%)0.0%
Mean3.978021978
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.190801image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.258518357
Coefficient of variation (CV)0.3163678742
Kurtosis-0.09252564608
Mean3.978021978
Median Absolute Deviation (MAD)1
Skewness-1.028284667
Sum3258
Variance1.583868454
MonotonicityNot monotonic
2025-02-26T17:43:16.230267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 404
40.1%
4 173
17.2%
3 117
 
11.6%
2 70
 
7.0%
1 55
 
5.5%
(Missing) 188
18.7%
ValueCountFrequency (%)
1 55
 
5.5%
2 70
 
7.0%
3 117
 
11.6%
4 173
17.2%
5 404
40.1%
ValueCountFrequency (%)
5 404
40.1%
4 173
17.2%
3 117
 
11.6%
2 70
 
7.0%
1 55
 
5.5%

w1_G03_5
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing190
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean3.981640147
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.270167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.305495831
Coefficient of variation (CV)0.32787891
Kurtosis-0.2293446382
Mean3.981640147
Median Absolute Deviation (MAD)0
Skewness-1.016152137
Sum3253
Variance1.704319365
MonotonicityNot monotonic
2025-02-26T17:43:16.309886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 433
43.0%
4 129
 
12.8%
3 124
 
12.3%
2 69
 
6.9%
1 62
 
6.2%
(Missing) 190
18.9%
ValueCountFrequency (%)
1 62
 
6.2%
2 69
 
6.9%
3 124
 
12.3%
4 129
 
12.8%
5 433
43.0%
ValueCountFrequency (%)
5 433
43.0%
4 129
 
12.8%
3 124
 
12.3%
2 69
 
6.9%
1 62
 
6.2%

w1_G03_6
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing197
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean4.618518519
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.349536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8902175553
Coefficient of variation (CV)0.192749591
Kurtosis6.670226745
Mean4.618518519
Median Absolute Deviation (MAD)0
Skewness-2.642238449
Sum3741
Variance0.7924872957
MonotonicityNot monotonic
2025-02-26T17:43:16.391187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 645
64.1%
4 79
 
7.8%
3 51
 
5.1%
1 23
 
2.3%
2 12
 
1.2%
(Missing) 197
 
19.6%
ValueCountFrequency (%)
1 23
 
2.3%
2 12
 
1.2%
3 51
 
5.1%
4 79
 
7.8%
5 645
64.1%
ValueCountFrequency (%)
5 645
64.1%
4 79
 
7.8%
3 51
 
5.1%
2 12
 
1.2%
1 23
 
2.3%

w1_G03_7
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing190
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean4.17625459
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.431119image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.221046712
Coefficient of variation (CV)0.2923784184
Kurtosis0.6693835362
Mean4.17625459
Median Absolute Deviation (MAD)0
Skewness-1.352156592
Sum3412
Variance1.490955072
MonotonicityNot monotonic
2025-02-26T17:43:16.473410image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 493
49.0%
4 125
 
12.4%
3 99
 
9.8%
1 50
 
5.0%
2 50
 
5.0%
(Missing) 190
 
18.9%
ValueCountFrequency (%)
1 50
 
5.0%
2 50
 
5.0%
3 99
 
9.8%
4 125
 
12.4%
5 493
49.0%
ValueCountFrequency (%)
5 493
49.0%
4 125
 
12.4%
3 99
 
9.8%
2 50
 
5.0%
1 50
 
5.0%

w1_G03_8
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing192
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean4.251533742
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.513585image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.154754929
Coefficient of variation (CV)0.2716090238
Kurtosis1.146929518
Mean4.251533742
Median Absolute Deviation (MAD)0
Skewness-1.475636046
Sum3465
Variance1.333458947
MonotonicityNot monotonic
2025-02-26T17:43:16.554258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 508
50.4%
4 127
 
12.6%
3 97
 
9.6%
2 43
 
4.3%
1 40
 
4.0%
(Missing) 192
 
19.1%
ValueCountFrequency (%)
1 40
 
4.0%
2 43
 
4.3%
3 97
 
9.6%
4 127
 
12.6%
5 508
50.4%
ValueCountFrequency (%)
5 508
50.4%
4 127
 
12.6%
3 97
 
9.6%
2 43
 
4.3%
1 40
 
4.0%

w1_G03_9
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing196
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean4.207151665
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.593818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13.5
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.194224021
Coefficient of variation (CV)0.2838557096
Kurtosis0.623936852
Mean4.207151665
Median Absolute Deviation (MAD)0
Skewness-1.337859072
Sum3412
Variance1.426171013
MonotonicityNot monotonic
2025-02-26T17:43:16.633921image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 505
50.1%
3 109
 
10.8%
4 103
 
10.2%
2 54
 
5.4%
1 40
 
4.0%
(Missing) 196
 
19.5%
ValueCountFrequency (%)
1 40
 
4.0%
2 54
 
5.4%
3 109
 
10.8%
4 103
 
10.2%
5 505
50.1%
ValueCountFrequency (%)
5 505
50.1%
4 103
 
10.2%
3 109
 
10.8%
2 54
 
5.4%
1 40
 
4.0%

w1_G03_10
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing193
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean4.534398034
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.674198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.983590365
Coefficient of variation (CV)0.2169175175
Kurtosis4.51329709
Mean4.534398034
Median Absolute Deviation (MAD)0
Skewness-2.280850531
Sum3691
Variance0.9674500062
MonotonicityNot monotonic
2025-02-26T17:43:16.714974image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 621
61.7%
4 84
 
8.3%
3 61
 
6.1%
1 29
 
2.9%
2 19
 
1.9%
(Missing) 193
 
19.2%
ValueCountFrequency (%)
1 29
 
2.9%
2 19
 
1.9%
3 61
 
6.1%
4 84
 
8.3%
5 621
61.7%
ValueCountFrequency (%)
5 621
61.7%
4 84
 
8.3%
3 61
 
6.1%
2 19
 
1.9%
1 29
 
2.9%

w1_G04_1
Real number (ℝ)

Missing 

During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing150
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean3.7957993
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.755761image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.242390331
Coefficient of variation (CV)0.3273066443
Kurtosis-0.3255233306
Mean3.7957993
Median Absolute Deviation (MAD)1
Skewness-0.8098532037
Sum3253
Variance1.543533735
MonotonicityNot monotonic
2025-02-26T17:43:16.796695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 328
32.6%
4 224
22.2%
3 172
17.1%
2 68
 
6.8%
1 65
 
6.5%
(Missing) 150
14.9%
ValueCountFrequency (%)
1 65
 
6.5%
2 68
 
6.8%
3 172
17.1%
4 224
22.2%
5 328
32.6%
ValueCountFrequency (%)
5 328
32.6%
4 224
22.2%
3 172
17.1%
2 68
 
6.8%
1 65
 
6.5%

w1_G04_2
Real number (ℝ)

Missing 

During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing149
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean3.445221445
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.837456image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.322070707
Coefficient of variation (CV)0.383740415
Kurtosis-0.9937905684
Mean3.445221445
Median Absolute Deviation (MAD)1
Skewness-0.3656573308
Sum2956
Variance1.747870954
MonotonicityNot monotonic
2025-02-26T17:43:16.878660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 252
25.0%
3 216
21.4%
4 179
17.8%
2 121
12.0%
1 90
 
8.9%
(Missing) 149
14.8%
ValueCountFrequency (%)
1 90
 
8.9%
2 121
12.0%
3 216
21.4%
4 179
17.8%
5 252
25.0%
ValueCountFrequency (%)
5 252
25.0%
4 179
17.8%
3 216
21.4%
2 121
12.0%
1 90
 
8.9%

w1_G04_3
Real number (ℝ)

Missing 

During the last year or so... Did you visit a museum in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing151
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.771028037
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.918161image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.128639141
Coefficient of variation (CV)0.2992921638
Kurtosis-0.3253925388
Mean3.771028037
Median Absolute Deviation (MAD)1
Skewness-0.6568982488
Sum3228
Variance1.27382631
MonotonicityNot monotonic
2025-02-26T17:43:16.959003image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 279
27.7%
4 254
25.2%
3 209
20.8%
2 76
 
7.5%
1 38
 
3.8%
(Missing) 151
15.0%
ValueCountFrequency (%)
1 38
 
3.8%
2 76
 
7.5%
3 209
20.8%
4 254
25.2%
5 279
27.7%
ValueCountFrequency (%)
5 279
27.7%
4 254
25.2%
3 209
20.8%
2 76
 
7.5%
1 38
 
3.8%

w1_G04_4
Real number (ℝ)

Missing 

During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing158
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean4.131919906
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:16.998591image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.089846455
Coefficient of variation (CV)0.2637627253
Kurtosis0.4464746572
Mean4.131919906
Median Absolute Deviation (MAD)0
Skewness-1.118189613
Sum3508
Variance1.187765295
MonotonicityNot monotonic
2025-02-26T17:43:17.038027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 439
43.6%
4 183
18.2%
3 155
 
15.4%
2 44
 
4.4%
1 28
 
2.8%
(Missing) 158
 
15.7%
ValueCountFrequency (%)
1 28
 
2.8%
2 44
 
4.4%
3 155
 
15.4%
4 183
18.2%
5 439
43.6%
ValueCountFrequency (%)
5 439
43.6%
4 183
18.2%
3 155
 
15.4%
2 44
 
4.4%
1 28
 
2.8%

w1_G04_5
Real number (ℝ)

Missing 

During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing153
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean3.75175644
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:17.146668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.142472363
Coefficient of variation (CV)0.3045166662
Kurtosis-0.3613586842
Mean3.75175644
Median Absolute Deviation (MAD)1
Skewness-0.6286536668
Sum3204
Variance1.305243101
MonotonicityNot monotonic
2025-02-26T17:43:17.186830image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 281
27.9%
4 234
23.2%
3 227
22.5%
2 70
 
7.0%
1 42
 
4.2%
(Missing) 153
15.2%
ValueCountFrequency (%)
1 42
 
4.2%
2 70
 
7.0%
3 227
22.5%
4 234
23.2%
5 281
27.9%
ValueCountFrequency (%)
5 281
27.9%
4 234
23.2%
3 227
22.5%
2 70
 
7.0%
1 42
 
4.2%

w1_G04_6
Real number (ℝ)

Missing 

During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing150
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean3.768961494
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:17.226948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.181167635
Coefficient of variation (CV)0.3133933941
Kurtosis-0.5620869897
Mean3.768961494
Median Absolute Deviation (MAD)1
Skewness-0.6151217475
Sum3230
Variance1.395156981
MonotonicityNot monotonic
2025-02-26T17:43:17.267385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 311
30.9%
3 212
21.1%
4 206
20.5%
2 87
 
8.6%
1 41
 
4.1%
(Missing) 150
14.9%
ValueCountFrequency (%)
1 41
 
4.1%
2 87
 
8.6%
3 212
21.1%
4 206
20.5%
5 311
30.9%
ValueCountFrequency (%)
5 311
30.9%
4 206
20.5%
3 212
21.1%
2 87
 
8.6%
1 41
 
4.1%

w1_G04_7
Real number (ℝ)

Missing 

During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing155
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean4.417840376
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:17.307885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.050571344
Coefficient of variation (CV)0.2378020151
Kurtosis2.409272191
Mean4.417840376
Median Absolute Deviation (MAD)0
Skewness-1.811728217
Sum3764
Variance1.103700148
MonotonicityNot monotonic
2025-02-26T17:43:17.348639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 602
59.8%
3 96
 
9.5%
4 94
 
9.3%
2 30
 
3.0%
1 30
 
3.0%
(Missing) 155
 
15.4%
ValueCountFrequency (%)
1 30
 
3.0%
2 30
 
3.0%
3 96
 
9.5%
4 94
 
9.3%
5 602
59.8%
ValueCountFrequency (%)
5 602
59.8%
4 94
 
9.3%
3 96
 
9.5%
2 30
 
3.0%
1 30
 
3.0%

w1_G04_8
Real number (ℝ)

Missing 

During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing153
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean4.427400468
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:17.388554image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.019734253
Coefficient of variation (CV)0.2303234732
Kurtosis2.288797799
Mean4.427400468
Median Absolute Deviation (MAD)0
Skewness-1.780821322
Sum3781
Variance1.039857947
MonotonicityNot monotonic
2025-02-26T17:43:17.430105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 598
59.4%
4 107
 
10.6%
3 87
 
8.6%
2 40
 
4.0%
1 22
 
2.2%
(Missing) 153
 
15.2%
ValueCountFrequency (%)
1 22
 
2.2%
2 40
 
4.0%
3 87
 
8.6%
4 107
 
10.6%
5 598
59.4%
ValueCountFrequency (%)
5 598
59.4%
4 107
 
10.6%
3 87
 
8.6%
2 40
 
4.0%
1 22
 
2.2%

w1_G04_9
Real number (ℝ)

Missing 

During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing153
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean3.680327869
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:17.470022image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.192851661
Coefficient of variation (CV)0.3241155962
Kurtosis-0.5337179098
Mean3.680327869
Median Absolute Deviation (MAD)1
Skewness-0.5892484598
Sum3143
Variance1.422895086
MonotonicityNot monotonic
2025-02-26T17:43:17.511162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 271
26.9%
4 230
22.8%
3 214
21.3%
2 87
 
8.6%
1 52
 
5.2%
(Missing) 153
15.2%
ValueCountFrequency (%)
1 52
 
5.2%
2 87
 
8.6%
3 214
21.3%
4 230
22.8%
5 271
26.9%
ValueCountFrequency (%)
5 271
26.9%
4 230
22.8%
3 214
21.3%
2 87
 
8.6%
1 52
 
5.2%

w1_G04_10
Real number (ℝ)

Missing 

During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.6%
Missing151
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.917056075
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:17.550545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.200930916
Coefficient of variation (CV)0.3065901773
Kurtosis-0.3260997125
Mean3.917056075
Median Absolute Deviation (MAD)1
Skewness-0.8309576383
Sum3353
Variance1.442235066
MonotonicityNot monotonic
2025-02-26T17:43:17.590678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 383
38.0%
3 181
18.0%
4 177
17.6%
2 72
 
7.1%
1 43
 
4.3%
(Missing) 151
 
15.0%
ValueCountFrequency (%)
1 43
 
4.3%
2 72
 
7.1%
3 181
18.0%
4 177
17.6%
5 383
38.0%
ValueCountFrequency (%)
5 383
38.0%
4 177
17.6%
3 181
18.0%
2 72
 
7.1%
1 43
 
4.3%

w1_G05_1
Real number (ℝ)

Missing 

During the last year or so... How often did you visit a bookshop in your own country or abroad? 1. Never, 2., 3., 4., 5., 6. Very often

Distinct6
Distinct (%)0.7%
Missing160
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean3.276269185
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:17.629765image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.457577012
Coefficient of variation (CV)0.4448892717
Kurtosis-0.7089979778
Mean3.276269185
Median Absolute Deviation (MAD)1
Skewness0.373615841
Sum2775
Variance2.124530745
MonotonicityNot monotonic
2025-02-26T17:43:17.667653image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 228
22.6%
2 202
20.1%
4 161
16.0%
6 95
9.4%
1 83
 
8.2%
5 78
 
7.7%
(Missing) 160
15.9%
ValueCountFrequency (%)
1 83
 
8.2%
2 202
20.1%
3 228
22.6%
4 161
16.0%
5 78
 
7.7%
ValueCountFrequency (%)
6 95
9.4%
5 78
 
7.7%
4 161
16.0%
3 228
22.6%
2 202
20.1%

w1_G05_2
Real number (ℝ)

Missing 

During the last year or so... How often did you visit an online bookshop and/or search for literature and other material available in a library on the internet? 1. Never, 2., 3., 4., 5., 6. Very often

Distinct6
Distinct (%)0.7%
Missing160
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean4.028335301
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:17.703329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.453503127
Coefficient of variation (CV)0.3608197972
Kurtosis-0.953775986
Mean4.028335301
Median Absolute Deviation (MAD)1
Skewness-0.1790117317
Sum3412
Variance2.112671339
MonotonicityNot monotonic
2025-02-26T17:43:17.742277image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 189
18.8%
3 186
18.5%
6 183
18.2%
5 152
15.1%
2 103
10.2%
1 34
 
3.4%
(Missing) 160
15.9%
ValueCountFrequency (%)
1 34
 
3.4%
2 103
10.2%
3 186
18.5%
4 189
18.8%
5 152
15.1%
ValueCountFrequency (%)
6 183
18.2%
5 152
15.1%
4 189
18.8%
3 186
18.5%
2 103
10.2%

w1_G06
Real number (ℝ)

Missing 

Approximately, how many books (printed or eBook) do you have where you live? 1. None 2. 1-25 3. 26-50 4. 51-100 5. 101-200 6. 201-400 7. More than 400

Distinct7
Distinct (%)0.9%
Missing198
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean3.546353523
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:17.777917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.560857748
Coefficient of variation (CV)0.4401303305
Kurtosis-0.09702421637
Mean3.546353523
Median Absolute Deviation (MAD)1
Skewness0.9375462966
Sum2869
Variance2.43627691
MonotonicityNot monotonic
2025-02-26T17:43:17.814460image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 254
25.2%
2 232
23.0%
4 141
14.0%
7 72
 
7.1%
5 55
 
5.5%
6 49
 
4.9%
1 6
 
0.6%
(Missing) 198
19.7%
ValueCountFrequency (%)
1 6
 
0.6%
2 232
23.0%
3 254
25.2%
4 141
14.0%
5 55
 
5.5%
ValueCountFrequency (%)
7 72
 
7.1%
6 49
 
4.9%
5 55
 
5.5%
4 141
14.0%
3 254
25.2%

w1_G07_1
Real number (ℝ)

Missing 

During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)0.2%
Missing176
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean1.138387485
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:17.853319image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3455141781
Coefficient of variation (CV)0.303511926
Kurtosis2.408379479
Mean1.138387485
Median Absolute Deviation (MAD)0
Skewness2.098234716
Sum946
Variance0.1193800473
MonotonicityNot monotonic
2025-02-26T17:43:17.891789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 716
71.1%
2 115
 
11.4%
(Missing) 176
 
17.5%
ValueCountFrequency (%)
1 716
71.1%
2 115
 
11.4%
ValueCountFrequency (%)
2 115
 
11.4%
1 716
71.1%

w1_G07_2
Real number (ℝ)

Missing 

During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)0.2%
Missing177
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean1.155421687
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:17.928986image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.362524659
Coefficient of variation (CV)0.313759611
Kurtosis1.635185482
Mean1.155421687
Median Absolute Deviation (MAD)0
Skewness1.905584183
Sum959
Variance0.1314241284
MonotonicityNot monotonic
2025-02-26T17:43:17.968176image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 701
69.6%
2 129
 
12.8%
(Missing) 177
 
17.6%
ValueCountFrequency (%)
1 701
69.6%
2 129
 
12.8%
ValueCountFrequency (%)
2 129
 
12.8%
1 701
69.6%

w1_G08_1
Boolean

Missing 

Which kind of books did you read? (tick all that apply): Literature & Novels

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
True
610 
False
369 
(Missing)
 
28
ValueCountFrequency (%)
True 610
60.6%
False 369
36.6%
(Missing) 28
 
2.8%
2025-02-26T17:43:18.003116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_2
Boolean

Missing 

Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
606 
True
373 
(Missing)
 
28
ValueCountFrequency (%)
False 606
60.2%
True 373
37.0%
(Missing) 28
 
2.8%
2025-02-26T17:43:18.033510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_3
Boolean

Missing 

Which kind of books did you read? (tick all that apply): Mystery & Thrillers

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
687 
True
292 
(Missing)
 
28
ValueCountFrequency (%)
False 687
68.2%
True 292
29.0%
(Missing) 28
 
2.8%
2025-02-26T17:43:18.063145image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_4
Boolean

Missing 

Which kind of books did you read? (tick all that apply): History

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
664 
True
315 
(Missing)
 
28
ValueCountFrequency (%)
False 664
65.9%
True 315
31.3%
(Missing) 28
 
2.8%
2025-02-26T17:43:18.092565image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_5
Boolean

Missing 

Which kind of books did you read? (tick all that apply): Biographies

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
743 
True
236 
(Missing)
 
28
ValueCountFrequency (%)
False 743
73.8%
True 236
 
23.4%
(Missing) 28
 
2.8%
2025-02-26T17:43:18.123170image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_6
Boolean

Missing 

Which kind of books did you read? (tick all that apply): Health, Mind & Body

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
814 
True
165 
(Missing)
 
28
ValueCountFrequency (%)
False 814
80.8%
True 165
 
16.4%
(Missing) 28
 
2.8%
2025-02-26T17:43:18.152718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_7
Boolean

Missing 

Which kind of books did you read? (tick all that apply): Other kind of books

Distinct2
Distinct (%)0.2%
Missing28
Missing (%)2.8%
Memory size2.1 KiB
False
707 
True
272 
(Missing)
 
28
ValueCountFrequency (%)
False 707
70.2%
True 272
 
27.0%
(Missing) 28
 
2.8%
2025-02-26T17:43:18.182079image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G09
Real number (ℝ)

Missing  Skewed 

In the last year or so, approximately how many books have you read (not for study)? |__|__|

Distinct36
Distinct (%)5.0%
Missing293
Missing (%)29.1%
Infinite0
Infinite (%)0.0%
Mean293.6904762
Minimum0
Maximum200000
Zeros9
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:18.220757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q310
95-th percentile50
Maximum200000
Range200000
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7484.348742
Coefficient of variation (CV)25.4837979
Kurtosis713.9824767
Mean293.6904762
Median Absolute Deviation (MAD)3
Skewness26.72028751
Sum209695
Variance56015476.08
MonotonicityNot monotonic
2025-02-26T17:43:18.271768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5 106
 
10.5%
10 97
 
9.6%
3 92
 
9.1%
2 75
 
7.4%
20 53
 
5.3%
4 45
 
4.5%
1 39
 
3.9%
6 33
 
3.3%
30 26
 
2.6%
15 26
 
2.6%
Other values (26) 122
12.1%
(Missing) 293
29.1%
ValueCountFrequency (%)
0 9
 
0.9%
1 39
3.9%
2 75
7.4%
3 92
9.1%
4 45
4.5%
ValueCountFrequency (%)
200000 1
 
0.1%
300 1
 
0.1%
200 5
0.5%
150 2
 
0.2%
120 1
 
0.1%

w1_G10_1
Real number (ℝ)

Missing 

Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.7%
Missing192
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean4.109202454
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:18.314664image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q13
median5
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.46594469
Coefficient of variation (CV)0.356746767
Kurtosis-0.8566930057
Mean4.109202454
Median Absolute Deviation (MAD)1
Skewness-0.5133345485
Sum3349
Variance2.148993835
MonotonicityNot monotonic
2025-02-26T17:43:18.353526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 295
29.3%
3 135
13.4%
6 133
13.2%
2 107
 
10.6%
4 104
 
10.3%
1 41
 
4.1%
(Missing) 192
19.1%
ValueCountFrequency (%)
1 41
 
4.1%
2 107
 
10.6%
3 135
13.4%
4 104
 
10.3%
5 295
29.3%
ValueCountFrequency (%)
6 133
13.2%
5 295
29.3%
4 104
 
10.3%
3 135
13.4%
2 107
 
10.6%

w1_G10_2
Real number (ℝ)

Missing 

Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.7%
Missing193
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean3.805896806
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:18.391717image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.633494618
Coefficient of variation (CV)0.4292009746
Kurtosis-1.177059281
Mean3.805896806
Median Absolute Deviation (MAD)1
Skewness-0.3068910416
Sum3098
Variance2.668304668
MonotonicityNot monotonic
2025-02-26T17:43:18.428994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 235
23.3%
6 128
12.7%
2 126
12.5%
3 121
12.0%
4 112
11.1%
1 92
 
9.1%
(Missing) 193
19.2%
ValueCountFrequency (%)
1 92
 
9.1%
2 126
12.5%
3 121
12.0%
4 112
11.1%
5 235
23.3%
ValueCountFrequency (%)
6 128
12.7%
5 235
23.3%
4 112
11.1%
3 121
12.0%
2 126
12.5%

w1_G10_3
Real number (ℝ)

Missing 

Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.7%
Missing201
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean5.004962779
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:18.465389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.24210808
Coefficient of variation (CV)0.2481752882
Kurtosis1.539223957
Mean5.004962779
Median Absolute Deviation (MAD)1
Skewness-1.467652838
Sum4034
Variance1.542832483
MonotonicityNot monotonic
2025-02-26T17:43:18.504392image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 353
35.1%
5 286
28.4%
4 57
 
5.7%
3 54
 
5.4%
2 40
 
4.0%
1 16
 
1.6%
(Missing) 201
20.0%
ValueCountFrequency (%)
1 16
 
1.6%
2 40
 
4.0%
3 54
 
5.4%
4 57
 
5.7%
5 286
28.4%
ValueCountFrequency (%)
6 353
35.1%
5 286
28.4%
4 57
 
5.7%
3 54
 
5.4%
2 40
 
4.0%

w1_G10_4
Real number (ℝ)

Missing 

Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.7%
Missing194
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean3.771217712
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:18.542010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.726869122
Coefficient of variation (CV)0.4579075656
Kurtosis-1.300436082
Mean3.771217712
Median Absolute Deviation (MAD)1
Skewness-0.2450862679
Sum3066
Variance2.982076964
MonotonicityNot monotonic
2025-02-26T17:43:18.579862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 211
21.0%
6 156
15.5%
3 131
13.0%
2 118
11.7%
1 114
11.3%
4 83
 
8.2%
(Missing) 194
19.3%
ValueCountFrequency (%)
1 114
11.3%
2 118
11.7%
3 131
13.0%
4 83
 
8.2%
5 211
21.0%
ValueCountFrequency (%)
6 156
15.5%
5 211
21.0%
4 83
 
8.2%
3 131
13.0%
2 118
11.7%

w1_G11_1
Real number (ℝ)

Missing 

Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct5
Distinct (%)0.6%
Missing194
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean3.033210332
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:18.615313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.102004064
Coefficient of variation (CV)0.3633127753
Kurtosis-0.7610289392
Mean3.033210332
Median Absolute Deviation (MAD)1
Skewness-0.09896180278
Sum2466
Variance1.214412957
MonotonicityNot monotonic
2025-02-26T17:43:18.656166image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 246
24.4%
4 233
23.1%
2 194
19.3%
1 73
 
7.2%
5 67
 
6.7%
(Missing) 194
19.3%
ValueCountFrequency (%)
1 73
 
7.2%
2 194
19.3%
3 246
24.4%
4 233
23.1%
5 67
 
6.7%
ValueCountFrequency (%)
5 67
 
6.7%
4 233
23.1%
3 246
24.4%
2 194
19.3%
1 73
 
7.2%

w1_G11_2
Real number (ℝ)

Missing 

Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct5
Distinct (%)0.6%
Missing197
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean3.282716049
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:18.695527image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.047840811
Coefficient of variation (CV)0.3191993443
Kurtosis-0.6688084082
Mean3.282716049
Median Absolute Deviation (MAD)1
Skewness-0.2226042478
Sum2659
Variance1.097970364
MonotonicityNot monotonic
2025-02-26T17:43:18.736268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 283
28.1%
3 235
23.3%
2 166
16.5%
5 91
 
9.0%
1 35
 
3.5%
(Missing) 197
19.6%
ValueCountFrequency (%)
1 35
 
3.5%
2 166
16.5%
3 235
23.3%
4 283
28.1%
5 91
 
9.0%
ValueCountFrequency (%)
5 91
 
9.0%
4 283
28.1%
3 235
23.3%
2 166
16.5%
1 35
 
3.5%

w1_H01f
Real number (ℝ)

Missing 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Distinct10
Distinct (%)1.2%
Missing157
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean3.897647059
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:18.776683image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.049475009
Coefficient of variation (CV)0.5258236517
Kurtosis0.3141634356
Mean3.897647059
Median Absolute Deviation (MAD)1
Skewness0.846873038
Sum3313
Variance4.200347814
MonotonicityNot monotonic
2025-02-26T17:43:18.814782image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 190
18.9%
4 169
16.8%
5 169
16.8%
3 135
13.4%
1 67
 
6.7%
8 65
 
6.5%
6 24
 
2.4%
9 19
 
1.9%
10 7
 
0.7%
7 5
 
0.5%
(Missing) 157
15.6%
ValueCountFrequency (%)
1 67
 
6.7%
2 190
18.9%
3 135
13.4%
4 169
16.8%
5 169
16.8%
ValueCountFrequency (%)
10 7
 
0.7%
9 19
 
1.9%
8 65
6.5%
7 5
 
0.5%
6 24
 
2.4%

w1_H01f_other
Text

Missing 

Which is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____

Distinct3
Distinct (%)60.0%
Missing1002
Missing (%)99.5%
Memory size8.2 KiB
2025-02-26T17:43:18.861766image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length2
Mean length3
Min length2

Characters and Unicode

Total characters15
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row学历为后来进修
2nd row大专
3rd row大专
4th row中专
5th row中专
ValueCountFrequency (%)
大专 2
40.0%
中专 2
40.0%
学历为后来进修 1
20.0%
2025-02-26T17:43:18.950034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
26.7%
2
13.3%
2
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4
26.7%
2
13.3%
2
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4
26.7%
2
13.3%
2
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4
26.7%
2
13.3%
2
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%

w1_H01m
Real number (ℝ)

Missing 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Distinct10
Distinct (%)1.2%
Missing157
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean3.797647059
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:18.991122image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.192501219
Coefficient of variation (CV)0.5773314858
Kurtosis0.2301197333
Mean3.797647059
Median Absolute Deviation (MAD)2
Skewness0.8895030602
Sum3228
Variance4.807061595
MonotonicityNot monotonic
2025-02-26T17:43:19.027574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 206
20.5%
4 172
17.1%
5 135
13.4%
3 107
10.6%
1 99
9.8%
8 68
 
6.8%
6 28
 
2.8%
9 20
 
2.0%
10 12
 
1.2%
7 3
 
0.3%
(Missing) 157
15.6%
ValueCountFrequency (%)
1 99
9.8%
2 206
20.5%
3 107
10.6%
4 172
17.1%
5 135
13.4%
ValueCountFrequency (%)
10 12
 
1.2%
9 20
 
2.0%
8 68
6.8%
7 3
 
0.3%
6 28
2.8%

w1_H01m_other
Text

Missing 

Which is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____

Distinct6
Distinct (%)66.7%
Missing998
Missing (%)99.1%
Memory size8.2 KiB
2025-02-26T17:43:19.074120image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length7
Mean length4.222222222
Min length2

Characters and Unicode

Total characters38
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)44.4%

Sample

1st row没上过学
2nd row文盲
3rd row没上过学
4th row未接受教育
5th row学历为后来进修
ValueCountFrequency (%)
大专 3
33.3%
没上过学 2
22.2%
文盲 1
 
11.1%
未接受教育 1
 
11.1%
学历为后来进修 1
 
11.1%
高中毕业后就读于警校 1
 
11.1%
2025-02-26T17:43:19.171503image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
 
7.9%
3
 
7.9%
3
 
7.9%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Other values (18) 18
47.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 38
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3
 
7.9%
3
 
7.9%
3
 
7.9%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Other values (18) 18
47.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 38
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3
 
7.9%
3
 
7.9%
3
 
7.9%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Other values (18) 18
47.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 38
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3
 
7.9%
3
 
7.9%
3
 
7.9%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Other values (18) 18
47.4%

w1_H01fLSE
Unsupported

Missing  Rejected  Unsupported 

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_H01mLSE
Unsupported

Missing  Rejected  Unsupported 

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_H02f
Real number (ℝ)

Missing 

When you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct9
Distinct (%)1.1%
Missing181
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean3.179176755
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:19.211676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.859854169
Coefficient of variation (CV)0.8995580897
Kurtosis-0.9220611138
Mean3.179176755
Median Absolute Deviation (MAD)1
Skewness0.8909190743
Sum2626
Variance8.178765867
MonotonicityNot monotonic
2025-02-26T17:43:19.251337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 402
39.9%
2 152
 
15.1%
8 108
 
10.7%
6 106
 
10.5%
9 33
 
3.3%
7 10
 
1.0%
3 9
 
0.9%
4 4
 
0.4%
5 2
 
0.2%
(Missing) 181
18.0%
ValueCountFrequency (%)
1 402
39.9%
2 152
 
15.1%
3 9
 
0.9%
4 4
 
0.4%
5 2
 
0.2%
ValueCountFrequency (%)
9 33
 
3.3%
8 108
10.7%
7 10
 
1.0%
6 106
10.5%
5 2
 
0.2%

w1_H03af
Real number (ℝ)

Missing 

More precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct19
Distinct (%)4.7%
Missing601
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean9.827586207
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:19.291695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q314
95-th percentile19
Maximum19
Range18
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.454623372
Coefficient of variation (CV)0.5550318519
Kurtosis-1.191276597
Mean9.827586207
Median Absolute Deviation (MAD)4
Skewness0.0329766078
Sum3990
Variance29.75291613
MonotonicityNot monotonic
2025-02-26T17:43:19.333073image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
13 61
 
6.1%
7 36
 
3.6%
5 35
 
3.5%
3 33
 
3.3%
14 33
 
3.3%
9 28
 
2.8%
19 24
 
2.4%
17 23
 
2.3%
1 23
 
2.3%
8 19
 
1.9%
Other values (9) 91
 
9.0%
(Missing) 601
59.7%
ValueCountFrequency (%)
1 23
2.3%
2 18
1.8%
3 33
3.3%
4 4
 
0.4%
5 35
3.5%
ValueCountFrequency (%)
19 24
2.4%
18 17
1.7%
17 23
2.3%
16 4
 
0.4%
15 14
1.4%

w1_H03af_other
Text

Missing 

More precisely he or guardian is/was an….? Answer: Other, please specify: _____

Distinct7
Distinct (%)63.6%
Missing996
Missing (%)98.9%
Memory size8.2 KiB
2025-02-26T17:43:19.373009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.636363636
Min length2

Characters and Unicode

Total characters29
Distinct characters20
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)54.5%

Sample

1st row铁路局电工
2nd row医生
3rd row政府司机
4th row医生
5th row医生
ValueCountFrequency (%)
医生 5
45.5%
铁路局电工 1
 
9.1%
政府司机 1
 
9.1%
镇长 1
 
9.1%
石油工人 1
 
9.1%
纪委 1
 
9.1%
主编 1
 
9.1%
2025-02-26T17:43:19.525917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
17.2%
5
17.2%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Other values (10) 10
34.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5
17.2%
5
17.2%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Other values (10) 10
34.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5
17.2%
5
17.2%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Other values (10) 10
34.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5
17.2%
5
17.2%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Other values (10) 10
34.5%

w1_H03bf
Real number (ℝ)

Missing 

w1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct16
Distinct (%)10.6%
Missing856
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean8.350993377
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:19.566953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median8
Q312
95-th percentile15.5
Maximum16
Range15
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.958448645
Coefficient of variation (CV)0.4740093143
Kurtosis-0.8473522768
Mean8.350993377
Median Absolute Deviation (MAD)3
Skewness0.5047056002
Sum1261
Variance15.66931567
MonotonicityNot monotonic
2025-02-26T17:43:19.607027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
6 25
 
2.5%
5 23
 
2.3%
8 22
 
2.2%
4 13
 
1.3%
13 10
 
1.0%
14 8
 
0.8%
15 8
 
0.8%
16 8
 
0.8%
7 8
 
0.8%
10 6
 
0.6%
Other values (6) 20
 
2.0%
(Missing) 856
85.0%
ValueCountFrequency (%)
1 3
 
0.3%
2 2
 
0.2%
3 1
 
0.1%
4 13
1.3%
5 23
2.3%
ValueCountFrequency (%)
16 8
0.8%
15 8
0.8%
14 8
0.8%
13 10
1.0%
12 6
0.6%

w1_H03bf_other
Text

Missing 

w1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____

Distinct6
Distinct (%)100.0%
Missing1001
Missing (%)99.4%
Memory size8.2 KiB
2025-02-26T17:43:19.668003image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.5
Min length2

Characters and Unicode

Total characters33
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row自家开办的中医店
2nd rowIT私企创始人(与母亲一起)
3rd row个体
4th row经商
5th row商店个体户
ValueCountFrequency (%)
自家开办的中医店 1
16.7%
it私企创始人(与母亲一起) 1
16.7%
个体 1
16.7%
经商 1
16.7%
商店个体户 1
16.7%
修车 1
16.7%
2025-02-26T17:43:19.774997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
 
6.1%
2
 
6.1%
2
 
6.1%
2
 
6.1%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
Other values (19) 19
57.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 33
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2
 
6.1%
2
 
6.1%
2
 
6.1%
2
 
6.1%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
Other values (19) 19
57.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 33
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2
 
6.1%
2
 
6.1%
2
 
6.1%
2
 
6.1%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
Other values (19) 19
57.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 33
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2
 
6.1%
2
 
6.1%
2
 
6.1%
2
 
6.1%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
Other values (19) 19
57.6%

w1_H02m
Real number (ℝ)

Missing 

When you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct9
Distinct (%)1.1%
Missing181
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean3.527845036
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:19.814232image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.800835279
Coefficient of variation (CV)0.7939224229
Kurtosis-1.080601872
Mean3.527845036
Median Absolute Deviation (MAD)1
Skewness0.6524517911
Sum2914
Variance7.84467826
MonotonicityNot monotonic
2025-02-26T17:43:19.857053image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 349
34.7%
4 129
 
12.8%
8 108
 
10.7%
6 101
 
10.0%
2 92
 
9.1%
9 39
 
3.9%
7 4
 
0.4%
5 2
 
0.2%
3 2
 
0.2%
(Missing) 181
18.0%
ValueCountFrequency (%)
1 349
34.7%
2 92
 
9.1%
3 2
 
0.2%
4 129
 
12.8%
5 2
 
0.2%
ValueCountFrequency (%)
9 39
 
3.9%
8 108
10.7%
7 4
 
0.4%
6 101
10.0%
5 2
 
0.2%

w1_H03am
Real number (ℝ)

Missing 

More precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct19
Distinct (%)5.5%
Missing662
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean9.202898551
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:19.898016image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median7
Q313
95-th percentile19
Maximum19
Range18
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.807877832
Coefficient of variation (CV)0.5224308196
Kurtosis-0.5493108701
Mean9.202898551
Median Absolute Deviation (MAD)2
Skewness0.6095531256
Sum3175
Variance23.11568925
MonotonicityNot monotonic
2025-02-26T17:43:19.940096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
7 68
 
6.8%
6 36
 
3.6%
5 35
 
3.5%
9 24
 
2.4%
19 21
 
2.1%
8 21
 
2.1%
11 18
 
1.8%
14 16
 
1.6%
10 15
 
1.5%
15 15
 
1.5%
Other values (9) 76
 
7.5%
(Missing) 662
65.7%
ValueCountFrequency (%)
1 9
 
0.9%
2 12
 
1.2%
3 7
 
0.7%
4 7
 
0.7%
5 35
3.5%
ValueCountFrequency (%)
19 21
2.1%
18 12
1.2%
17 12
1.2%
16 2
 
0.2%
15 15
1.5%

w1_H03am_other
Text

Missing 

More precisely she or guardian is/was an….? Answer: Other, please specify: _____

Distinct9
Distinct (%)81.8%
Missing996
Missing (%)98.9%
Memory size8.2 KiB
2025-02-26T17:43:19.983416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.636363636
Min length2

Characters and Unicode

Total characters29
Distinct characters20
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)72.7%

Sample

1st row保管员
2nd row医生
3rd row行政人员
4th row警察
5th row护工
ValueCountFrequency (%)
医生 3
27.3%
保管员 1
 
9.1%
行政人员 1
 
9.1%
警察 1
 
9.1%
护工 1
 
9.1%
护士 1
 
9.1%
医药营销 1
 
9.1%
石油工人 1
 
9.1%
书记 1
 
9.1%
2025-02-26T17:43:20.078411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
 
13.8%
3
 
10.3%
2
 
6.9%
2
 
6.9%
2
 
6.9%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Other values (10) 10
34.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4
 
13.8%
3
 
10.3%
2
 
6.9%
2
 
6.9%
2
 
6.9%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Other values (10) 10
34.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4
 
13.8%
3
 
10.3%
2
 
6.9%
2
 
6.9%
2
 
6.9%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Other values (10) 10
34.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4
 
13.8%
3
 
10.3%
2
 
6.9%
2
 
6.9%
2
 
6.9%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Other values (10) 10
34.5%

w1_H03bm
Real number (ℝ)

Missing 

w1_H04bm - More precisely she or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct15
Distinct (%)16.5%
Missing916
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean7.934065934
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:20.117831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.5
Q15
median6
Q311
95-th percentile16
Maximum16
Range14
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.016084876
Coefficient of variation (CV)0.5061824428
Kurtosis-0.7338777489
Mean7.934065934
Median Absolute Deviation (MAD)2
Skewness0.7238543338
Sum722
Variance16.12893773
MonotonicityNot monotonic
2025-02-26T17:43:20.157954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
6 20
 
2.0%
5 16
 
1.6%
4 11
 
1.1%
16 7
 
0.7%
12 6
 
0.6%
10 5
 
0.5%
11 5
 
0.5%
8 4
 
0.4%
14 4
 
0.4%
3 3
 
0.3%
Other values (5) 10
 
1.0%
(Missing) 916
91.0%
ValueCountFrequency (%)
2 2
 
0.2%
3 3
 
0.3%
4 11
1.1%
5 16
1.6%
6 20
2.0%
ValueCountFrequency (%)
16 7
0.7%
15 2
 
0.2%
14 4
0.4%
13 2
 
0.2%
12 6
0.6%

w1_H03bm_other
Text

Missing 

w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____

Distinct4
Distinct (%)100.0%
Missing1003
Missing (%)99.6%
Memory size8.2 KiB
2025-02-26T17:43:20.222025image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length14
Median length9.5
Mean length5.75
Min length2

Characters and Unicode

Total characters23
Distinct characters20
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st rowIT私企创始人(与父亲一起)
2nd row个体
3rd row经商
4th row商店个体户
ValueCountFrequency (%)
it私企创始人(与父亲一起) 1
25.0%
个体 1
25.0%
经商 1
25.0%
商店个体户 1
25.0%
2025-02-26T17:43:20.333540image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
 
8.7%
2
 
8.7%
2
 
8.7%
I 1
 
4.3%
T 1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (10) 10
43.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 23
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2
 
8.7%
2
 
8.7%
2
 
8.7%
I 1
 
4.3%
T 1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (10) 10
43.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 23
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2
 
8.7%
2
 
8.7%
2
 
8.7%
I 1
 
4.3%
T 1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (10) 10
43.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 23
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2
 
8.7%
2
 
8.7%
2
 
8.7%
I 1
 
4.3%
T 1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (10) 10
43.5%

w1_I00
Real number (ℝ)

Missing 

Do you want to participate? 1. Yes, 2. No [go to I05]

Distinct2
Distinct (%)0.2%
Missing197
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean1.601234568
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:20.373917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4899468519
Coefficient of variation (CV)0.3059806862
Kurtosis-1.832912169
Mean1.601234568
Median Absolute Deviation (MAD)0
Skewness-0.41427003
Sum1297
Variance0.2400479177
MonotonicityNot monotonic
2025-02-26T17:43:20.412428image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 487
48.4%
1 323
32.1%
(Missing) 197
19.6%
ValueCountFrequency (%)
1 323
32.1%
2 487
48.4%
ValueCountFrequency (%)
2 487
48.4%
1 323
32.1%

w1_I01
Real number (ℝ)

Missing 

Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’

Distinct2
Distinct (%)0.6%
Missing684
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean1.848297214
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:20.448908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3592891682
Coefficient of variation (CV)0.194389282
Kurtosis1.817195677
Mean1.848297214
Median Absolute Deviation (MAD)0
Skewness-1.9508926
Sum597
Variance0.1290887064
MonotonicityNot monotonic
2025-02-26T17:43:20.487017image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 274
27.2%
1 49
 
4.9%
(Missing) 684
67.9%
ValueCountFrequency (%)
1 49
 
4.9%
2 274
27.2%
ValueCountFrequency (%)
2 274
27.2%
1 49
 
4.9%

w1_I03
Real number (ℝ)

Missing 

How many Mobile phones do you have? N. |__|

Distinct3
Distinct (%)1.2%
Missing756
Missing (%)75.1%
Infinite0
Infinite (%)0.0%
Mean1.071713147
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:20.522876image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2735628874
Coefficient of variation (CV)0.2552575641
Kurtosis15.77428191
Mean1.071713147
Median Absolute Deviation (MAD)0
Skewness3.915890749
Sum269
Variance0.07483665339
MonotonicityNot monotonic
2025-02-26T17:43:20.562290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 234
 
23.2%
2 16
 
1.6%
3 1
 
0.1%
(Missing) 756
75.1%
ValueCountFrequency (%)
1 234
23.2%
2 16
 
1.6%
3 1
 
0.1%
ValueCountFrequency (%)
3 1
 
0.1%
2 16
 
1.6%
1 234
23.2%

w1_I04
Real number (ℝ)

Missing 

I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]

Distinct2
Distinct (%)0.7%
Missing734
Missing (%)72.9%
Infinite0
Infinite (%)0.0%
Mean1.014652015
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:20.603077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1203761253
Coefficient of variation (CV)0.1186378419
Kurtosis64.46133966
Mean1.014652015
Median Absolute Deviation (MAD)0
Skewness8.123369779
Sum277
Variance0.01449041155
MonotonicityNot monotonic
2025-02-26T17:43:20.640333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 269
 
26.7%
2 4
 
0.4%
(Missing) 734
72.9%
ValueCountFrequency (%)
1 269
26.7%
2 4
 
0.4%
ValueCountFrequency (%)
2 4
 
0.4%
1 269
26.7%

w1_BFI15_1
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often worry about trifles.

Distinct6
Distinct (%)0.7%
Missing159
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean3.382075472
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:20.676388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.413465162
Coefficient of variation (CV)0.4179283323
Kurtosis-0.810696235
Mean3.382075472
Median Absolute Deviation (MAD)1
Skewness-0.0003985567715
Sum2868
Variance1.997883763
MonotonicityNot monotonic
2025-02-26T17:43:20.714977image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 255
25.3%
2 165
16.4%
3 159
15.8%
5 113
11.2%
1 92
 
9.1%
6 64
 
6.4%
(Missing) 159
15.8%
ValueCountFrequency (%)
1 92
 
9.1%
2 165
16.4%
3 159
15.8%
4 255
25.3%
5 113
11.2%
ValueCountFrequency (%)
6 64
 
6.4%
5 113
11.2%
4 255
25.3%
3 159
15.8%
2 165
16.4%

w1_BFI15_2
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often feel disturbed.

Distinct6
Distinct (%)0.7%
Missing159
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean3.462264151
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:20.751005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.460536547
Coefficient of variation (CV)0.4218443432
Kurtosis-0.9349013984
Mean3.462264151
Median Absolute Deviation (MAD)1
Skewness-0.1099312491
Sum2936
Variance2.133167005
MonotonicityNot monotonic
2025-02-26T17:43:20.789578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 256
25.4%
2 160
15.9%
5 143
14.2%
3 124
12.3%
1 97
 
9.6%
6 68
 
6.8%
(Missing) 159
15.8%
ValueCountFrequency (%)
1 97
 
9.6%
2 160
15.9%
3 124
12.3%
4 256
25.4%
5 143
14.2%
ValueCountFrequency (%)
6 68
 
6.8%
5 143
14.2%
4 256
25.4%
3 124
12.3%
2 160
15.9%

w1_BFI15_3
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I always worry that something bad is going to happen.

Distinct6
Distinct (%)0.7%
Missing161
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean3.262411348
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:20.826001image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.491492514
Coefficient of variation (CV)0.4571748792
Kurtosis-0.9992765284
Mean3.262411348
Median Absolute Deviation (MAD)1
Skewness0.05109556098
Sum2760
Variance2.224549918
MonotonicityNot monotonic
2025-02-26T17:43:20.865295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 240
23.8%
2 180
17.9%
1 126
12.5%
3 124
12.3%
5 114
11.3%
6 62
 
6.2%
(Missing) 161
16.0%
ValueCountFrequency (%)
1 126
12.5%
2 180
17.9%
3 124
12.3%
4 240
23.8%
5 114
11.3%
ValueCountFrequency (%)
6 62
 
6.2%
5 114
11.3%
4 240
23.8%
3 124
12.3%
2 180
17.9%

w1_BFI15_4
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to plan things from the beginning.

Distinct6
Distinct (%)0.7%
Missing161
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean4.158392435
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:20.901521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.424542037
Coefficient of variation (CV)0.3425703706
Kurtosis-0.5645294018
Mean4.158392435
Median Absolute Deviation (MAD)1
Skewness-0.5146437644
Sum3518
Variance2.029320016
MonotonicityNot monotonic
2025-02-26T17:43:20.938788image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 230
22.8%
4 195
19.4%
6 164
16.3%
3 136
13.5%
2 75
 
7.4%
1 46
 
4.6%
(Missing) 161
16.0%
ValueCountFrequency (%)
1 46
 
4.6%
2 75
 
7.4%
3 136
13.5%
4 195
19.4%
5 230
22.8%
ValueCountFrequency (%)
6 164
16.3%
5 230
22.8%
4 195
19.4%
3 136
13.5%
2 75
 
7.4%

w1_BFI15_5
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I am diligent in my work or study.

Distinct6
Distinct (%)0.7%
Missing162
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean4.007100592
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:20.975339image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2467766
Coefficient of variation (CV)0.3111418274
Kurtosis-0.1468571025
Mean4.007100592
Median Absolute Deviation (MAD)1
Skewness-0.506142854
Sum3386
Variance1.554451892
MonotonicityNot monotonic
2025-02-26T17:43:21.013180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 259
25.7%
5 244
24.2%
3 165
16.4%
6 80
 
7.9%
2 58
 
5.8%
1 39
 
3.9%
(Missing) 162
16.1%
ValueCountFrequency (%)
1 39
 
3.9%
2 58
 
5.8%
3 165
16.4%
4 259
25.7%
5 244
24.2%
ValueCountFrequency (%)
6 80
 
7.9%
5 244
24.2%
4 259
25.7%
3 165
16.4%
2 58
 
5.8%

w1_BFI15_6
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: One of my characteristics is doing things logically and orderly.

Distinct6
Distinct (%)0.7%
Missing161
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean4.320330969
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:21.050125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.266869742
Coefficient of variation (CV)0.2932344191
Kurtosis0.0780819598
Mean4.320330969
Median Absolute Deviation (MAD)1
Skewness-0.6849822725
Sum3655
Variance1.604958944
MonotonicityNot monotonic
2025-02-26T17:43:21.087936image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 269
26.7%
4 236
23.4%
6 150
14.9%
3 115
11.4%
2 45
 
4.5%
1 31
 
3.1%
(Missing) 161
16.0%
ValueCountFrequency (%)
1 31
 
3.1%
2 45
 
4.5%
3 115
11.4%
4 236
23.4%
5 269
26.7%
ValueCountFrequency (%)
6 150
14.9%
5 269
26.7%
4 236
23.4%
3 115
11.4%
2 45
 
4.5%

w1_BFI15_7
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I think most people are well-intentioned.

Distinct6
Distinct (%)0.7%
Missing163
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean4.452606635
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:21.123994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.280895421
Coefficient of variation (CV)0.2876731599
Kurtosis0.1577854523
Mean4.452606635
Median Absolute Deviation (MAD)1
Skewness-0.805844262
Sum3758
Variance1.640693079
MonotonicityNot monotonic
2025-02-26T17:43:21.163105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 294
29.2%
4 193
19.2%
6 182
18.1%
3 102
 
10.1%
2 45
 
4.5%
1 28
 
2.8%
(Missing) 163
16.2%
ValueCountFrequency (%)
1 28
 
2.8%
2 45
 
4.5%
3 102
 
10.1%
4 193
19.2%
5 294
29.2%
ValueCountFrequency (%)
6 182
18.1%
5 294
29.2%
4 193
19.2%
3 102
 
10.1%
2 45
 
4.5%

w1_BFI15_8
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some frauds in the society, I think most people can be trusted.

Distinct6
Distinct (%)0.7%
Missing163
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean4.434834123
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:21.199612image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.25861957
Coefficient of variation (CV)0.283803077
Kurtosis0.2566918773
Mean4.434834123
Median Absolute Deviation (MAD)1
Skewness-0.7862879498
Sum3743
Variance1.584123223
MonotonicityNot monotonic
2025-02-26T17:43:21.238192image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 280
27.8%
4 224
22.2%
6 175
17.4%
3 95
 
9.4%
2 42
 
4.2%
1 28
 
2.8%
(Missing) 163
16.2%
ValueCountFrequency (%)
1 28
 
2.8%
2 42
 
4.2%
3 95
 
9.4%
4 224
22.2%
5 280
27.8%
ValueCountFrequency (%)
6 175
17.4%
5 280
27.8%
4 224
22.2%
3 95
 
9.4%
2 42
 
4.2%

w1_BFI15_9
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some bad things in human society (such as war, evil and fraud), I still believe that human nature is generally good.

Distinct6
Distinct (%)0.7%
Missing161
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean4.424349882
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:21.274404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.280097256
Coefficient of variation (CV)0.2893300237
Kurtosis0.2394677799
Mean4.424349882
Median Absolute Deviation (MAD)1
Skewness-0.7998525893
Sum3743
Variance1.638648985
MonotonicityNot monotonic
2025-02-26T17:43:21.312158image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 281
27.9%
4 216
21.4%
6 177
17.6%
3 100
 
9.9%
2 40
 
4.0%
1 32
 
3.2%
(Missing) 161
16.0%
ValueCountFrequency (%)
1 32
 
3.2%
2 40
 
4.0%
3 100
 
9.9%
4 216
21.4%
5 281
27.9%
ValueCountFrequency (%)
6 177
17.6%
5 281
27.9%
4 216
21.4%
3 100
 
9.9%
2 40
 
4.0%

w1_BFI15_10
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm a person who loves to take risks and break the rules.

Distinct6
Distinct (%)0.7%
Missing164
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean3.801897983
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:21.350498image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.322164857
Coefficient of variation (CV)0.3477644226
Kurtosis-0.5361227685
Mean3.801897983
Median Absolute Deviation (MAD)1
Skewness-0.1605341572
Sum3205
Variance1.748119909
MonotonicityNot monotonic
2025-02-26T17:43:21.388585image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 241
23.9%
3 213
21.2%
5 163
16.2%
6 95
 
9.4%
2 86
 
8.5%
1 45
 
4.5%
(Missing) 164
16.3%
ValueCountFrequency (%)
1 45
 
4.5%
2 86
 
8.5%
3 213
21.2%
4 241
23.9%
5 163
16.2%
ValueCountFrequency (%)
6 95
 
9.4%
5 163
16.2%
4 241
23.9%
3 213
21.2%
2 86
 
8.5%

w1_BFI15_11
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like adventure.

Distinct6
Distinct (%)0.7%
Missing163
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean3.593601896
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:21.425591image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.41236929
Coefficient of variation (CV)0.3930233039
Kurtosis-0.7098228344
Mean3.593601896
Median Absolute Deviation (MAD)1
Skewness-0.1038847214
Sum3033
Variance1.994787011
MonotonicityNot monotonic
2025-02-26T17:43:21.462824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 236
23.4%
3 195
19.4%
5 137
13.6%
2 113
11.2%
6 86
 
8.5%
1 77
 
7.6%
(Missing) 163
16.2%
ValueCountFrequency (%)
1 77
 
7.6%
2 113
11.2%
3 195
19.4%
4 236
23.4%
5 137
13.6%
ValueCountFrequency (%)
6 86
 
8.5%
5 137
13.6%
4 236
23.4%
3 195
19.4%
2 113
11.2%

w1_BFI15_12
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I have a spirit of adventure that no one else has.

Distinct6
Distinct (%)0.7%
Missing163
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean3.306872038
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:21.498604image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.406441773
Coefficient of variation (CV)0.4253087984
Kurtosis-0.7435185418
Mean3.306872038
Median Absolute Deviation (MAD)1
Skewness0.02370545176
Sum2791
Variance1.97807846
MonotonicityNot monotonic
2025-02-26T17:43:21.536742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 231
22.9%
3 201
20.0%
2 139
13.8%
1 109
10.8%
5 107
10.6%
6 57
 
5.7%
(Missing) 163
16.2%
ValueCountFrequency (%)
1 109
10.8%
2 139
13.8%
3 201
20.0%
4 231
22.9%
5 107
10.6%
ValueCountFrequency (%)
6 57
 
5.7%
5 107
10.6%
4 231
22.9%
3 201
20.0%
2 139
13.8%

w1_BFI15_13
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm bored by parties with lots of people.

Distinct6
Distinct (%)0.7%
Missing162
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean3.862721893
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:21.572537image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.49250725
Coefficient of variation (CV)0.3863874467
Kurtosis-0.8477262637
Mean3.862721893
Median Absolute Deviation (MAD)1
Skewness-0.2398863285
Sum3264
Variance2.227577891
MonotonicityNot monotonic
2025-02-26T17:43:21.611076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 219
21.7%
5 157
15.6%
3 154
15.3%
6 144
14.3%
2 106
10.5%
1 65
 
6.5%
(Missing) 162
16.1%
ValueCountFrequency (%)
1 65
 
6.5%
2 106
10.5%
3 154
15.3%
4 219
21.7%
5 157
15.6%
ValueCountFrequency (%)
6 144
14.3%
5 157
15.6%
4 219
21.7%
3 154
15.3%
2 106
10.5%

w1_BFI15_14
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I try to avoid parties with lots of people and noisy environments.

Distinct6
Distinct (%)0.7%
Missing162
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean3.831952663
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:21.646846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.513030792
Coefficient of variation (CV)0.3948458985
Kurtosis-0.9436386018
Mean3.831952663
Median Absolute Deviation (MAD)1
Skewness-0.1967856861
Sum3238
Variance2.289262178
MonotonicityNot monotonic
2025-02-26T17:43:21.684079image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 198
19.7%
5 161
16.0%
3 158
15.7%
6 144
14.3%
2 119
11.8%
1 65
 
6.5%
(Missing) 162
16.1%
ValueCountFrequency (%)
1 65
 
6.5%
2 119
11.8%
3 158
15.7%
4 198
19.7%
5 161
16.0%
ValueCountFrequency (%)
6 144
14.3%
5 161
16.0%
4 198
19.7%
3 158
15.7%
2 119
11.8%

w1_BFI15_15
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to go to social and recreational parties.

Distinct6
Distinct (%)0.7%
Missing163
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean3.406398104
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:21.720550image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.377503307
Coefficient of variation (CV)0.4043870579
Kurtosis-0.6705343332
Mean3.406398104
Median Absolute Deviation (MAD)1
Skewness-0.03633795064
Sum2875
Variance1.897515362
MonotonicityNot monotonic
2025-02-26T17:43:21.758389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 245
24.3%
3 203
20.2%
2 130
12.9%
5 115
11.4%
1 91
 
9.0%
6 60
 
6.0%
(Missing) 163
16.2%
ValueCountFrequency (%)
1 91
 
9.0%
2 130
12.9%
3 203
20.2%
4 245
24.3%
5 115
11.4%
ValueCountFrequency (%)
6 60
 
6.0%
5 115
11.4%
4 245
24.3%
3 203
20.2%
2 130
12.9%

w1_GT_BF15
Real number (ℝ)

Missing  Skewed 

Distinct815
Distinct (%)94.3%
Missing143
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean79.33289352
Minimum3.52
Maximum4887.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:21.877219image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.52
5-th percentile23.3995
Q143.975
median56.295
Q376.3475
95-th percentile139.7005
Maximum4887.4
Range4883.88
Interquartile range (IQR)32.3725

Descriptive statistics

Standard deviation189.472539
Coefficient of variation (CV)2.388322556
Kurtosis487.3361116
Mean79.33289352
Median Absolute Deviation (MAD)15.595
Skewness20.06545438
Sum68543.62
Variance35899.84305
MonotonicityNot monotonic
2025-02-26T17:43:21.929096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.14 3
 
0.3%
50.26 3
 
0.3%
61.66 3
 
0.3%
43.12 2
 
0.2%
76.23 2
 
0.2%
55.41 2
 
0.2%
43.69 2
 
0.2%
44.88 2
 
0.2%
51.93 2
 
0.2%
49.42 2
 
0.2%
Other values (805) 841
83.5%
(Missing) 143
 
14.2%
ValueCountFrequency (%)
3.52 1
0.1%
3.56 1
0.1%
3.71 1
0.1%
3.8 1
0.1%
3.93 2
0.2%
ValueCountFrequency (%)
4887.4 1
0.1%
1569.79 1
0.1%
972.52 1
0.1%
940.02 1
0.1%
853.25 1
0.1%

w1_N01
Unsupported

Missing  Rejected  Unsupported 

How did you make a decision to become a student? 1. By myself 2. Followed my parents' advice 3. Followed my brother/sister's advice4. Other, please specify: ____

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_N01_other
Unsupported

Missing  Rejected  Unsupported 

How did you make a decision to become a student? | Answer: Other, please specify: ____

Missing1007
Missing (%)100.0%
Memory size8.1 KiB

w1_N02
Unsupported

Missing  Rejected  Unsupported 

Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_N03
Unsupported

Missing  Rejected  Unsupported 

From where did you migrate? 1. Arkhangai 2. Bayan-Ulgii 3. Баянхонгор 4. Bayankhongor 5. Govi-Altai 6. Govisumber 7. Darkhan-Uul 8. Dornogovi 9. Dornod 10. Dundgovi 11. Zavkhan 12. Orkhon 13. Uvurkhangai 14. Umnugovi 15. Sukhbaatar 16. Selenge 17. Tuv 18. Uvs 19. Khovd 20. Khuvsgul 21. Khentii

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_N04
Unsupported

Missing  Rejected  Unsupported 

For how long are you living in the current place? 1. Less than 1 year 2. 1-2 years 3. 3-4 years 4. 4-5 years 5. 5 or more years

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_N05_1
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1007
Missing (%)100.0%
Memory size8.1 KiB

w1_N05_2
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1007
Missing (%)100.0%
Memory size8.1 KiB

w1_N05_3
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1007
Missing (%)100.0%
Memory size8.1 KiB

w1_N05_4
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1007
Missing (%)100.0%
Memory size8.1 KiB

w1_N05_5
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1007
Missing (%)100.0%
Memory size8.1 KiB

w1_N05_6
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1007
Missing (%)100.0%
Memory size8.1 KiB

w1_N05_7
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1007
Missing (%)100.0%
Memory size8.1 KiB

w1_N05_8
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1007
Missing (%)100.0%
Memory size8.1 KiB

w1_N06
Unsupported

Missing  Rejected  Unsupported 

Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____

Missing1007
Missing (%)100.0%
Memory size9.0 KiB

w1_N06_other
Unsupported

Missing  Rejected  Unsupported 

Please, give the reason to migrate to the city. | Answer: Other, please specify: ____

Missing1007
Missing (%)100.0%
Memory size8.1 KiB

w1_interviewtime
Real number (ℝ)

Missing 

time of interview

Distinct975
Distinct (%)99.6%
Missing28
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean1028.783034
Minimum36.41
Maximum14804.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:21.978498image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum36.41
5-th percentile117.753
Q1609.46
median847.87
Q31152.56
95-th percentile2306.029
Maximum14804.3
Range14767.89
Interquartile range (IQR)543.1

Descriptive statistics

Standard deviation1015.225962
Coefficient of variation (CV)0.9868222247
Kurtosis53.25244199
Mean1028.783034
Median Absolute Deviation (MAD)270.06
Skewness5.779399624
Sum1007178.59
Variance1030683.754
MonotonicityNot monotonic
2025-02-26T17:43:22.031767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1355.86 2
 
0.2%
847.21 2
 
0.2%
684.9 2
 
0.2%
979.46 2
 
0.2%
439.63 1
 
0.1%
986.76 1
 
0.1%
871.22 1
 
0.1%
689.3 1
 
0.1%
559.32 1
 
0.1%
758.47 1
 
0.1%
Other values (965) 965
95.8%
(Missing) 28
 
2.8%
ValueCountFrequency (%)
36.41 1
0.1%
40.19 1
0.1%
42.13 1
0.1%
42.64 1
0.1%
44.56 1
0.1%
ValueCountFrequency (%)
14804.3 1
0.1%
10655.2 1
0.1%
8887.77 1
0.1%
7502.53 1
0.1%
6986.81 1
0.1%

w1_GT_A0
Real number (ℝ)

Missing 

Distinct797
Distinct (%)81.4%
Missing28
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean25.55643514
Minimum3.93
Maximum1337.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:22.084992image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.93
5-th percentile5.878
Q19.01
median12.55
Q319.29
95-th percentile55.758
Maximum1337.27
Range1333.34
Interquartile range (IQR)10.28

Descriptive statistics

Standard deviation78.97848409
Coefficient of variation (CV)3.090356056
Kurtosis162.220036
Mean25.55643514
Median Absolute Deviation (MAD)4.27
Skewness11.64367051
Sum25019.75
Variance6237.600949
MonotonicityNot monotonic
2025-02-26T17:43:22.138049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.76 5
 
0.5%
9.49 4
 
0.4%
7.62 4
 
0.4%
13.54 4
 
0.4%
8.25 3
 
0.3%
12.62 3
 
0.3%
9.14 3
 
0.3%
10.12 3
 
0.3%
12.38 3
 
0.3%
7.17 3
 
0.3%
Other values (787) 944
93.7%
(Missing) 28
 
2.8%
ValueCountFrequency (%)
3.93 1
0.1%
4.02 1
0.1%
4.16 1
0.1%
4.21 2
0.2%
4.22 1
0.1%
ValueCountFrequency (%)
1337.27 1
0.1%
1277.13 1
0.1%
782.46 1
0.1%
691.2 1
0.1%
608.42 1
0.1%

w1_GT_A1
Real number (ℝ)

Missing 

Distinct903
Distinct (%)92.2%
Missing28
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean65.60624106
Minimum13.65
Maximum3979.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:22.190657image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum13.65
5-th percentile30.146
Q138.135
median47.19
Q360.83
95-th percentile122.594
Maximum3979.3
Range3965.65
Interquartile range (IQR)22.695

Descriptive statistics

Standard deviation164.4295566
Coefficient of variation (CV)2.506309673
Kurtosis429.8365639
Mean65.60624106
Median Absolute Deviation (MAD)10.61
Skewness19.76637854
Sum64228.51
Variance27037.07908
MonotonicityNot monotonic
2025-02-26T17:43:22.244665image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.7 4
 
0.4%
34.31 4
 
0.4%
35.19 3
 
0.3%
36.39 3
 
0.3%
39.88 3
 
0.3%
49.37 2
 
0.2%
42.47 2
 
0.2%
60.43 2
 
0.2%
58.74 2
 
0.2%
51.22 2
 
0.2%
Other values (893) 952
94.5%
(Missing) 28
 
2.8%
ValueCountFrequency (%)
13.65 1
0.1%
16.94 1
0.1%
18.78 1
0.1%
22.64 1
0.1%
23.04 1
0.1%
ValueCountFrequency (%)
3979.3 1
0.1%
2981.17 1
0.1%
894.95 1
0.1%
694.25 1
0.1%
392.36 1
0.1%

w1_GT_B
Real number (ℝ)

Missing 

Distinct925
Distinct (%)98.8%
Missing71
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean219.0008547
Minimum3.5
Maximum5734.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:22.296802image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile44.19
Q1121.5975
median163.355
Q3231.0575
95-th percentile457.165
Maximum5734.67
Range5731.17
Interquartile range (IQR)109.46

Descriptive statistics

Standard deviation309.4829398
Coefficient of variation (CV)1.413158593
Kurtosis131.0892012
Mean219.0008547
Median Absolute Deviation (MAD)52.245
Skewness9.595204934
Sum204984.8
Variance95779.69002
MonotonicityNot monotonic
2025-02-26T17:43:22.348644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164.76 2
 
0.2%
140.21 2
 
0.2%
141.28 2
 
0.2%
161.75 2
 
0.2%
102.03 2
 
0.2%
131.33 2
 
0.2%
149.72 2
 
0.2%
189.75 2
 
0.2%
178.72 2
 
0.2%
159.07 2
 
0.2%
Other values (915) 916
91.0%
(Missing) 71
 
7.1%
ValueCountFrequency (%)
3.5 1
0.1%
4.22 1
0.1%
4.72 1
0.1%
6.35 1
0.1%
7.28 1
0.1%
ValueCountFrequency (%)
5734.67 1
0.1%
2928.47 1
0.1%
2870.73 1
0.1%
2665.94 1
0.1%
2418.51 1
0.1%

w1_GT_C
Real number (ℝ)

Missing 

Distinct882
Distinct (%)96.9%
Missing97
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean112.9157033
Minimum2.63
Maximum5130.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:22.401964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.63
5-th percentile23.9435
Q151.07
median72.125
Q3109.22
95-th percentile228.354
Maximum5130.31
Range5127.68
Interquartile range (IQR)58.15

Descriptive statistics

Standard deviation281.4248313
Coefficient of variation (CV)2.492344493
Kurtosis186.2361769
Mean112.9157033
Median Absolute Deviation (MAD)25.55
Skewness12.60083134
Sum102753.29
Variance79199.93569
MonotonicityNot monotonic
2025-02-26T17:43:22.454998image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.23 3
 
0.3%
100.42 2
 
0.2%
141.35 2
 
0.2%
5.54 2
 
0.2%
41.3 2
 
0.2%
65.72 2
 
0.2%
140.86 2
 
0.2%
45.9 2
 
0.2%
42.92 2
 
0.2%
50.09 2
 
0.2%
Other values (872) 889
88.3%
(Missing) 97
 
9.6%
ValueCountFrequency (%)
2.63 1
0.1%
2.76 1
0.1%
3.25 1
0.1%
3.73 1
0.1%
3.86 1
0.1%
ValueCountFrequency (%)
5130.31 1
0.1%
4181.3 1
0.1%
3437.93 1
0.1%
2294.96 1
0.1%
1780.35 1
0.1%

w1_GT_D
Real number (ℝ)

Missing  Skewed 

Distinct805
Distinct (%)92.8%
Missing140
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean44.91070358
Minimum2.39
Maximum5193.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:22.505440image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.39
5-th percentile10.093
Q116.245
median25.35
Q339.03
95-th percentile92.774
Maximum5193.66
Range5191.27
Interquartile range (IQR)22.785

Descriptive statistics

Standard deviation192.3811366
Coefficient of variation (CV)4.283636668
Kurtosis604.4040357
Mean44.91070358
Median Absolute Deviation (MAD)10.66
Skewness23.35264848
Sum38937.58
Variance37010.50173
MonotonicityNot monotonic
2025-02-26T17:43:22.558065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.91 3
 
0.3%
13.85 3
 
0.3%
11.94 3
 
0.3%
18.77 2
 
0.2%
21.55 2
 
0.2%
34.46 2
 
0.2%
23.21 2
 
0.2%
14.89 2
 
0.2%
11.39 2
 
0.2%
10.22 2
 
0.2%
Other values (795) 844
83.8%
(Missing) 140
 
13.9%
ValueCountFrequency (%)
2.39 1
0.1%
2.79 1
0.1%
2.82 1
0.1%
3.55 1
0.1%
3.56 1
0.1%
ValueCountFrequency (%)
5193.66 1
0.1%
1929.8 1
0.1%
473.28 1
0.1%
457.38 1
0.1%
456.57 1
0.1%

w1_GT_E
Real number (ℝ)

Missing 

Distinct880
Distinct (%)98.1%
Missing110
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean153.5048495
Minimum3.29
Maximum9728.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:22.609712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.29
5-th percentile40.402
Q180.12
median107.37
Q3155.42
95-th percentile271.79
Maximum9728.36
Range9725.07
Interquartile range (IQR)75.3

Descriptive statistics

Standard deviation387.7642315
Coefficient of variation (CV)2.526071539
Kurtosis433.0394627
Mean153.5048495
Median Absolute Deviation (MAD)35.49
Skewness18.94049414
Sum137693.85
Variance150361.0992
MonotonicityNot monotonic
2025-02-26T17:43:22.661961image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.64 2
 
0.2%
90.07 2
 
0.2%
92.72 2
 
0.2%
113.81 2
 
0.2%
114.66 2
 
0.2%
141.99 2
 
0.2%
148.25 2
 
0.2%
158.74 2
 
0.2%
79.26 2
 
0.2%
101.47 2
 
0.2%
Other values (870) 877
87.1%
(Missing) 110
 
10.9%
ValueCountFrequency (%)
3.29 1
0.1%
3.32 1
0.1%
4.48 1
0.1%
4.91 1
0.1%
5.7 1
0.1%
ValueCountFrequency (%)
9728.36 1
0.1%
4188.33 1
0.1%
3124.39 1
0.1%
2051.59 1
0.1%
1645.05 1
0.1%

w1_GT_F
Real number (ℝ)

Missing  Skewed 

Distinct760
Distinct (%)89.1%
Missing154
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean31.06343494
Minimum2.55
Maximum4870.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:22.711573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.55
5-th percentile5.496
Q19.92
median18.43
Q329.88
95-th percentile61.886
Maximum4870.47
Range4867.92
Interquartile range (IQR)19.96

Descriptive statistics

Standard deviation169.9016146
Coefficient of variation (CV)5.469505063
Kurtosis775.4301981
Mean31.06343494
Median Absolute Deviation (MAD)9.36
Skewness27.30051718
Sum26497.11
Variance28866.55866
MonotonicityNot monotonic
2025-02-26T17:43:22.763459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.78 3
 
0.3%
9.92 3
 
0.3%
6.12 3
 
0.3%
7.1 3
 
0.3%
7.97 3
 
0.3%
8.39 3
 
0.3%
21.15 3
 
0.3%
10.74 3
 
0.3%
6.92 3
 
0.3%
6.43 3
 
0.3%
Other values (750) 823
81.7%
(Missing) 154
 
15.3%
ValueCountFrequency (%)
2.55 1
0.1%
2.97 1
0.1%
3.06 1
0.1%
3.43 1
0.1%
3.58 2
0.2%
ValueCountFrequency (%)
4870.47 1
0.1%
709.9 1
0.1%
550.84 1
0.1%
201.97 1
0.1%
195.36 1
0.1%

w1_GT_G1
Real number (ℝ)

Missing  Skewed 

Distinct798
Distinct (%)94.3%
Missing161
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean64.63815603
Minimum2.69
Maximum5047.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:22.813712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.69
5-th percentile21.525
Q134.1225
median47.15
Q363.8675
95-th percentile107.545
Maximum5047.28
Range5044.59
Interquartile range (IQR)29.745

Descriptive statistics

Standard deviation199.9892276
Coefficient of variation (CV)3.093981015
Kurtosis478.6751564
Mean64.63815603
Median Absolute Deviation (MAD)14.155
Skewness20.60610758
Sum54683.88
Variance39995.69116
MonotonicityNot monotonic
2025-02-26T17:43:22.866147image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.51 3
 
0.3%
29.25 3
 
0.3%
45.18 3
 
0.3%
63.39 2
 
0.2%
44.82 2
 
0.2%
33.27 2
 
0.2%
45.72 2
 
0.2%
32.45 2
 
0.2%
31.88 2
 
0.2%
47.15 2
 
0.2%
Other values (788) 823
81.7%
(Missing) 161
 
16.0%
ValueCountFrequency (%)
2.69 1
0.1%
3.26 1
0.1%
3.28 1
0.1%
3.35 1
0.1%
3.56 1
0.1%
ValueCountFrequency (%)
5047.28 1
0.1%
2241.43 1
0.1%
1712.1 1
0.1%
796.7 1
0.1%
388.4 1
0.1%

w1_GT_G2
Real number (ℝ)

Missing 

Distinct858
Distinct (%)97.4%
Missing126
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean82.32283768
Minimum2.51
Maximum4507.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:22.916029image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.51
5-th percentile18.16
Q138.86
median54.95
Q380.77
95-th percentile162.93
Maximum4507.35
Range4504.84
Interquartile range (IQR)41.91

Descriptive statistics

Standard deviation195.7671472
Coefficient of variation (CV)2.378041776
Kurtosis318.9139668
Mean82.32283768
Median Absolute Deviation (MAD)19.81
Skewness15.87923075
Sum72526.42
Variance38324.77591
MonotonicityNot monotonic
2025-02-26T17:43:22.967236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.16 2
 
0.2%
15.46 2
 
0.2%
99.25 2
 
0.2%
46.08 2
 
0.2%
47.65 2
 
0.2%
54.23 2
 
0.2%
44.01 2
 
0.2%
71.43 2
 
0.2%
63.55 2
 
0.2%
19.02 2
 
0.2%
Other values (848) 861
85.5%
(Missing) 126
 
12.5%
ValueCountFrequency (%)
2.51 1
0.1%
2.56 1
0.1%
2.81 1
0.1%
2.86 1
0.1%
3.03 1
0.1%
ValueCountFrequency (%)
4507.35 1
0.1%
1977.23 1
0.1%
1969.71 1
0.1%
1334.09 1
0.1%
1054.27 1
0.1%

w1_GT_G3
Real number (ℝ)

Missing 

Distinct837
Distinct (%)95.9%
Missing134
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean92.60549828
Minimum2.52
Maximum5350.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:23.090644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.52
5-th percentile16.444
Q145.59
median63.01
Q387.78
95-th percentile158.718
Maximum5350.54
Range5348.02
Interquartile range (IQR)42.19

Descriptive statistics

Standard deviation273.4033889
Coefficient of variation (CV)2.952345098
Kurtosis238.2638865
Mean92.60549828
Median Absolute Deviation (MAD)20.75
Skewness14.53940215
Sum80844.6
Variance74749.41307
MonotonicityNot monotonic
2025-02-26T17:43:23.143821image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.44 2
 
0.2%
98.61 2
 
0.2%
60.73 2
 
0.2%
15.33 2
 
0.2%
86.54 2
 
0.2%
55.37 2
 
0.2%
98.14 2
 
0.2%
77.8 2
 
0.2%
58.72 2
 
0.2%
65.26 2
 
0.2%
Other values (827) 853
84.7%
(Missing) 134
 
13.3%
ValueCountFrequency (%)
2.52 1
0.1%
4.34 1
0.1%
4.65 1
0.1%
5.07 1
0.1%
5.13 1
0.1%
ValueCountFrequency (%)
5350.54 1
0.1%
4301.65 1
0.1%
2830.18 1
0.1%
2189.46 1
0.1%
1759.46 1
0.1%

w1_GT_H1
Real number (ℝ)

Missing  Skewed 

Distinct706
Distinct (%)81.2%
Missing138
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean21.65151899
Minimum2.18
Maximum2651.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:23.195351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.18
5-th percentile7.18
Q110.24
median13.1
Q317.58
95-th percentile34.738
Maximum2651.94
Range2649.76
Interquartile range (IQR)7.34

Descriptive statistics

Standard deviation96.64578118
Coefficient of variation (CV)4.463695191
Kurtosis637.0606112
Mean21.65151899
Median Absolute Deviation (MAD)3.36
Skewness23.93958707
Sum18815.17
Variance9340.407021
MonotonicityNot monotonic
2025-02-26T17:43:23.246517image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.24 5
 
0.5%
11.44 4
 
0.4%
10.05 4
 
0.4%
10.57 4
 
0.4%
15.63 3
 
0.3%
9.26 3
 
0.3%
11.24 3
 
0.3%
10.73 3
 
0.3%
8.94 3
 
0.3%
11.71 3
 
0.3%
Other values (696) 834
82.8%
(Missing) 138
 
13.7%
ValueCountFrequency (%)
2.18 1
0.1%
2.44 1
0.1%
2.59 1
0.1%
2.81 1
0.1%
2.98 1
0.1%
ValueCountFrequency (%)
2651.94 1
0.1%
655.82 1
0.1%
530.71 1
0.1%
414.08 1
0.1%
343.04 1
0.1%

w1_GT_H2
Real number (ℝ)

Missing 

Distinct793
Distinct (%)95.9%
Missing180
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean45.46859734
Minimum3.19
Maximum721.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:23.294678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.19
5-th percentile9.696
Q121.985
median36.52
Q356.725
95-th percentile102.966
Maximum721.57
Range718.38
Interquartile range (IQR)34.74

Descriptive statistics

Standard deviation46.65214595
Coefficient of variation (CV)1.026030022
Kurtosis99.23298518
Mean45.46859734
Median Absolute Deviation (MAD)16.58
Skewness7.917733887
Sum37602.53
Variance2176.422721
MonotonicityNot monotonic
2025-02-26T17:43:23.346873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.3 3
 
0.3%
30.77 3
 
0.3%
25.52 2
 
0.2%
27.63 2
 
0.2%
41.18 2
 
0.2%
34.66 2
 
0.2%
23.84 2
 
0.2%
55.3 2
 
0.2%
6.98 2
 
0.2%
27.08 2
 
0.2%
Other values (783) 805
79.9%
(Missing) 180
 
17.9%
ValueCountFrequency (%)
3.19 1
0.1%
3.57 1
0.1%
4.8 1
0.1%
5.04 1
0.1%
5.39 1
0.1%
ValueCountFrequency (%)
721.57 1
0.1%
678.24 1
0.1%
414.53 1
0.1%
314.0 1
0.1%
200.67 1
0.1%

w1_GT_I1
Real number (ℝ)

Missing 

Distinct776
Distinct (%)95.8%
Missing197
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean84.14162963
Minimum11.12
Maximum1536.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:23.398556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum11.12
5-th percentile24.44
Q145.815
median68.005
Q397.765
95-th percentile178.0535
Maximum1536.31
Range1525.19
Interquartile range (IQR)51.95

Descriptive statistics

Standard deviation90.16539717
Coefficient of variation (CV)1.071590811
Kurtosis132.7575851
Mean84.14162963
Median Absolute Deviation (MAD)24.99
Skewness9.511415205
Sum68154.72
Variance8129.798847
MonotonicityNot monotonic
2025-02-26T17:43:23.452125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.54 4
 
0.4%
51.78 3
 
0.3%
35.26 2
 
0.2%
18.13 2
 
0.2%
69.97 2
 
0.2%
39.37 2
 
0.2%
85.29 2
 
0.2%
37.84 2
 
0.2%
72.72 2
 
0.2%
81.57 2
 
0.2%
Other values (766) 787
78.2%
(Missing) 197
 
19.6%
ValueCountFrequency (%)
11.12 1
0.1%
11.99 1
0.1%
12.33 1
0.1%
13.52 1
0.1%
14.26 1
0.1%
ValueCountFrequency (%)
1536.31 1
0.1%
1343.49 1
0.1%
662.44 1
0.1%
569.52 1
0.1%
460.56 1
0.1%

w1_GT_I2
Real number (ℝ)

Missing 

Distinct496
Distinct (%)85.8%
Missing429
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean10.19519031
Minimum1.59
Maximum395.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2025-02-26T17:43:23.505716image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1.59
5-th percentile2.537
Q15.0925
median7.695
Q311.4175
95-th percentile21.5765
Maximum395.18
Range393.59
Interquartile range (IQR)6.325

Descriptive statistics

Standard deviation18.00840754
Coefficient of variation (CV)1.766363059
Kurtosis364.2376717
Mean10.19519031
Median Absolute Deviation (MAD)3.13
Skewness17.3944988
Sum5892.82
Variance324.3027422
MonotonicityNot monotonic
2025-02-26T17:43:23.561522image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.54 4
 
0.4%
8.12 3
 
0.3%
7.05 3
 
0.3%
5.33 3
 
0.3%
6.05 3
 
0.3%
7.18 3
 
0.3%
5.93 3
 
0.3%
3.15 3
 
0.3%
7.23 3
 
0.3%
2.46 3
 
0.3%
Other values (486) 547
54.3%
(Missing) 429
42.6%
ValueCountFrequency (%)
1.59 1
0.1%
1.82 1
0.1%
1.83 1
0.1%
1.84 1
0.1%
1.9 1
0.1%
ValueCountFrequency (%)
395.18 1
0.1%
94.56 1
0.1%
68.63 1
0.1%
67.99 1
0.1%
64.95 1
0.1%

w1_GT_N
Unsupported

Missing  Rejected  Unsupported 

Missing1007
Missing (%)100.0%
Memory size9.0 KiB